From 95aae86bfd4447539c5e0156f5bd102c92f92497 Mon Sep 17 00:00:00 2001 From: Ryan Deschamps Date: Tue, 25 Oct 2016 23:01:33 +0000 Subject: [PATCH] Update to the notebooks to include analysis for UVIC and removing errors from UALBERTA. --- Scripts/compare_collection/3DCompare.ipynb | 2 +- .../compare_collection/ALL/DUMMY_GOVERNMENT | 180 ++ Scripts/compare_collection/ALL/DUMMY_MEDIA | 360 ++++ .../compare_collection/ALL/DUMMY_ORGANIZATION | 174 ++ Scripts/compare_collection/ALL/DUMMY_OVERALL | 1464 +++++++++++++++++ .../compare_collection/ALL/DUMMY_SOCIALMEDIA | 456 +++++ .../ALL/DUMMY_TECHNOLOGY_SITES | 294 ++++ Scripts/compare_collection/DUMMY_ALL.csv | 357 ++-- .../compare_collection/Dummy Variables.ipynb | 112 +- Scripts/compare_collection/UA_Compare.ipynb | 236 +-- .../compare_collection/UA_CompareUVIC.ipynb | 281 ++-- .../compare_collection/UVIC/DUMMY_GOVERNMENT | 180 ++ Scripts/compare_collection/UVIC/DUMMY_MEDIA | 360 ++++ .../assembled/DUMMY_GOVERNMENT | 180 ++ .../compare_collection/assembled/DUMMY_MEDIA | 360 ++++ .../assembled/DUMMY_ORGANIZATION | 174 ++ .../assembled/DUMMY_OVERALL | 1464 +++++++++++++++++ .../assembled/DUMMY_SOCIALMEDIA | 456 +++++ .../assembled/DUMMY_TECHNOLOGY_SITES | 294 ++++ .../compare_collections.ipynb | 941 +++-------- 20 files changed, 6983 insertions(+), 1342 deletions(-) create mode 100644 Scripts/compare_collection/ALL/DUMMY_GOVERNMENT create mode 100644 Scripts/compare_collection/ALL/DUMMY_MEDIA create mode 100644 Scripts/compare_collection/ALL/DUMMY_ORGANIZATION create mode 100644 Scripts/compare_collection/ALL/DUMMY_OVERALL create mode 100644 Scripts/compare_collection/ALL/DUMMY_SOCIALMEDIA create mode 100644 Scripts/compare_collection/ALL/DUMMY_TECHNOLOGY_SITES create mode 100644 Scripts/compare_collection/UVIC/DUMMY_GOVERNMENT create mode 100644 Scripts/compare_collection/UVIC/DUMMY_MEDIA create mode 100644 Scripts/compare_collection/assembled/DUMMY_GOVERNMENT create mode 100644 Scripts/compare_collection/assembled/DUMMY_MEDIA create mode 100644 Scripts/compare_collection/assembled/DUMMY_ORGANIZATION create mode 100644 Scripts/compare_collection/assembled/DUMMY_OVERALL create mode 100644 Scripts/compare_collection/assembled/DUMMY_SOCIALMEDIA create mode 100644 Scripts/compare_collection/assembled/DUMMY_TECHNOLOGY_SITES diff --git a/Scripts/compare_collection/3DCompare.ipynb b/Scripts/compare_collection/3DCompare.ipynb index 42db067..2787d4a 100644 --- a/Scripts/compare_collection/3DCompare.ipynb +++ b/Scripts/compare_collection/3DCompare.ipynb @@ -19,7 +19,7 @@ "import matplotlib.pyplot as plt\n", "from mpl_toolkits.mplot3d import Axes3D\n", "\n", - "#x = Compare({\"happy\": [\"ecstatic\", \"bursting\", \"nostalgic\"], \"sad\": [\"down\", \"depressed\", \"nostalgic\"]}, LABEL_BOTH_FACTORS=True)\n" + "x = Compare({\"happy\": [\"ecstatic\", \"bursting\", \"nostalgic\"], \"sad\": [\"down\", \"depressed\", \"nostalgic\"]}, LABEL_BOTH_FACTORS=True)\n" ] }, { diff 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+((201601,macromedia.com ),30) +((201601,mailoutinteractive.com ),30) +((201601,microsoft.com ),30) +((201601,mozilla.org ),30) +((201601,myshopify.com ),30) +((201601,newrelic.com ),30) +((201601,nexac.com ),30) +((201601,oracle.com ),30) +((201601,ow.ly ),30) +((201601,paypal.com ),30) +((201601,rogers.com ),30) +((201601,rogersmedia.com ),30) +((201601,scribblelive.com ),30) +((201601,shaw.ca ),30) +((201601,suncor.com ),30) +((201601,surveymonkey.com ),30) +((201601,telus.com ),30) +((201601,tinyurl.com ),30) +((201601,typekit.com ),30) +((201601,typography.com ),30) +((201601,verticalresponse.com ),30) +((201601,yahoo.com ),30) +((201601,yimg.com ),30) \ No newline at end of file diff --git a/Scripts/compare_collection/DUMMY_ALL.csv b/Scripts/compare_collection/DUMMY_ALL.csv index 86241c1..799879c 100644 --- a/Scripts/compare_collection/DUMMY_ALL.csv +++ b/Scripts/compare_collection/DUMMY_ALL.csv @@ -1,245 +1,112 @@ 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+youtube-nocookie.com,False,True,False,False,True,True,False,False,True,False,False,True,True,True,True,True,True,False,False,True,True,True,True,True,False,False,False,False,True,False,False,True,False,True,True,False,False,False,True,True,True,True,True,True +youtube.com,False,True,True,False,True,True,False,False,True,True,False,True,True,True,True,True,True,True,False,True,True,True,True,True,False,True,True,True,True,False,True,True,True,True,True,True,True,False,True,True,True,True,True,True +ytimg.com,False,True,False,False,False,False,False,False,True,False,False,True,True,True,False,True,True,False,False,True,True,True,True,True,False,False,False,False,False,False,False,False,False,True,True,False,False,False,True,True,True,True,True,True diff --git a/Scripts/compare_collection/Dummy Variables.ipynb b/Scripts/compare_collection/Dummy Variables.ipynb index d61ebed..a2633b6 100644 --- a/Scripts/compare_collection/Dummy Variables.ipynb +++ b/Scripts/compare_collection/Dummy Variables.ipynb @@ -27,7 +27,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": { "collapsed": false }, @@ -50,6 +50,7 @@ "ALBERTA_western_canadian_film-urls.txt\n", "UVIC_environmental_organizations_and_resources_of_bc-urls.txt\n", "ALBERTA_government_information_all_urls.txt\n", + "DUMMY_OVERALL\n", "UVIC_bc_teachers_labour_dispute_2014-urls.txt\n", "UVIC_Faculty_Association_Certification_2014-urls.txt\n", "ALBERTA_ottawa_shooting_october_2014-urls.txt\n", @@ -58,18 +59,23 @@ "ALBERTA_hcf_online_encyclopedia-all.txt\n", "ALBERTA_education_curriculum-all.txt\n", "ALBERTA_edmonton_public_library-urls.txt\n", + "DUMMY_GOVERNMENT\n", "ALBERTA_energy_environment-all.txt\n", "TORONTO_panam\n", "ALBERTA_floods_2013-all.txt\n", "ALBERTA_university_of_websites-urls.txt\n", "ALBERTA_web_archive_general-urls.txt\n", "UVIC_Governments-urls.txt\n", + "DUMMY_TECHNOLOGY_SITES\n", + "DUMMY_ORGANIZATION\n", "TORONTO_snowden_archive-urls.txt\n", "ALBERTA_health_sciences_grey_literature-all.txt\n", "UVIC_at_risk_websites-urls.txt\n", + "DUMMY_MEDIA\n", "TORONTO_tspace-urls.txt\n", "ALBERTA_lfrancophonie_de_louest_canadien-urls.txt\n", "UVIC_Calendar\n", + "DUMMY_SOCIALMEDIA\n", "UVIC_News-urls.txt\n", "UVIC_50thAnniversary\n", "ALBERTA_idle_no_more-urls.txt\n", @@ -78,7 +84,7 @@ } ], "source": [ - "# The output below takes the derivative files from the folder \"UFT/\" and puts them into a python dictionary (array)\n", + "# The output below takes the derivative files from the folder \" ALL/\" and puts them into a python dictionary (array)\n", "# for later use. I have included two of these. One including the Heritage Community Foundation's collection and one\n", "# not.\n", "\n", @@ -91,7 +97,7 @@ " for filename in os.listdir(path):\n", " with open(path+filename, \"r\") as file:\n", " print (filename) #see the filenames available.\n", - " urls.append(list({(filename[0:15], line.translate(str.maketrans(')',\" \")).split(\",\")[0][2:6], line.translate(str.maketrans(')',\" \")).split(\",\")[1]) for line in file.readlines()}))\n", + " urls.append(list({(filename[0:15], line.translate(str.maketrans(')',\" \")).split(\",\")[0][2:6], line.translate(str.maketrans(')',\" \")).split(\",\")[1].strip()) for line in file.readlines()}))\n", " return(urls)\n", "\n", "#newdict = defaultdict(dict)\n", @@ -104,10 +110,11 @@ "for collect in PC:\n", " for coll, date, url in collect:\n", " newdict[date][coll].append(url)\n", - " \n", + "\n", + "#newdict2 eliminates collections in if-then statement.\n", "for collect in PC:\n", " for coll, date, url in collect:\n", - " if coll == 'ALBERTA_heritag' or coll == 'ALBERTA_hcf_onl':\n", + " if coll == 'ALBERTA_heritag' or coll == 'ALBERTA_hcf_onl' or coll==\"DUMMY_MEDIA\" or coll==\"DUMMY_GOVERNMEN\" or coll== \"DUMMY_ORGANIZAT\" or coll== \"DUMMY_OVERALL\" or coll== \"DUMMY_TECHNOLOG\" or coll== \"DUMMY_SOCIALMED\":\n", " pass\n", " else:\n", " newdict2[date][coll].append(url)\n", @@ -120,7 +127,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": { "collapsed": false }, @@ -143,6 +150,7 @@ "ALBERTA_western_canadian_film-urls.txt\n", "UVIC_environmental_organizations_and_resources_of_bc-urls.txt\n", "ALBERTA_government_information_all_urls.txt\n", + "DUMMY_OVERALL\n", "UVIC_bc_teachers_labour_dispute_2014-urls.txt\n", "UVIC_Faculty_Association_Certification_2014-urls.txt\n", "ALBERTA_ottawa_shooting_october_2014-urls.txt\n", @@ -151,18 +159,23 @@ "ALBERTA_hcf_online_encyclopedia-all.txt\n", "ALBERTA_education_curriculum-all.txt\n", "ALBERTA_edmonton_public_library-urls.txt\n", + "DUMMY_GOVERNMENT\n", "ALBERTA_energy_environment-all.txt\n", "TORONTO_panam\n", "ALBERTA_floods_2013-all.txt\n", "ALBERTA_university_of_websites-urls.txt\n", "ALBERTA_web_archive_general-urls.txt\n", "UVIC_Governments-urls.txt\n", + "DUMMY_TECHNOLOGY_SITES\n", + "DUMMY_ORGANIZATION\n", "TORONTO_snowden_archive-urls.txt\n", "ALBERTA_health_sciences_grey_literature-all.txt\n", "UVIC_at_risk_websites-urls.txt\n", + "DUMMY_MEDIA\n", "TORONTO_tspace-urls.txt\n", "ALBERTA_lfrancophonie_de_louest_canadien-urls.txt\n", "UVIC_Calendar\n", + "DUMMY_SOCIALMEDIA\n", "UVIC_News-urls.txt\n", "UVIC_50thAnniversary\n", "ALBERTA_idle_no_more-urls.txt\n", @@ -177,11 +190,10 @@ " with open(path+filename, \"r\") as file:\n", " print(filename)\n", " #split the data by comma and lose the closing url. Put it in a set to remove duplicates.\n", - " collect = {line.translate(str.maketrans(')',\" \")).split(\",\")[1] for line in file.readlines()}\n", + " collect = {line.translate(str.maketrans(')',\" \")).split(\",\")[1].strip() for line in file.readlines()}\n", " #print(collect)\n", " # result: {'www.url1.suf', 'www.biglovely.url2.suf', 'education.url3.suf'}\n", " collect2 = [x.split(\".\")[-2]+\".\"+x.split(\".\")[-1] for x in collect]\n", - "\n", " collection[filename[0:15]] = (collect2) #convert collect2 to a dict {truncatedFILENAME: [url1.suf, url2.suf, url3.suf]}\n", " return (collection)\n", " \n", @@ -191,7 +203,7 @@ " with open(path+filename, \"r\") as file:\n", " print(filename)\n", " #split the data by comma and lose the closing url. Put it in a set to remove duplicates.\n", - " collect = {line.translate(str.maketrans(')',\" \")).split(\",\")[1] for line in file.readlines()}\n", + " collect = {line.translate(str.maketrans(')',\" \")).split(\",\")[1].strip() for line in file.readlines()}\n", " collect4 = [x for x in collect]\n", " # result merely converts each set to a big list of urls. (Full scope of analysis)\n", " collection[filename[0:15]] = (collect4) #convert collect4 to a dict.\n", @@ -212,7 +224,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": { "collapsed": false }, @@ -221,21 +233,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "['ALBERTA_floods_', 'UVIC_Government', 'UVIC_Research_C', 'ALBERTA_humanit', 'TORONTO_tspace-', 'UVIC_anarchist_', 'UVIC_Faculty_As', 'ALBERTA_fort_mc', 'UVIC_Websites-u', 'UVIC_environmen', 'ALBERTA_ottawa_', 'WAHR_exln42-all', 'UVIC_Calendar', 'ALBERTA_health_', 'TORONTO_panam', 'UVIC_trans_web-', 'UVIC_News-urls.', 'UVIC_50thAnnive', 'ALBERTA_energy_', 'UVIC_at_risk_we', 'ALBERTA_edmonto', 'ALBERTA_web_arc', 'ALBERTA_heritag', 'ALBERTA_prairie', 'ALBERTA_governm', 'WAHR_panamapape', 'TORONTO_snowden', 'UVIC_Digital_Sc', 'ALBERTA_oil_san', 'ALBERTA_lfranco', 'ALBERTA_educati', 'ALBERTA_canadia', 'WAHR_ymmfire-ur', 'ALBERTA_idle_no', 'UVIC_bc_teacher', 'ALBERTA_univers', 'ALBERTA_hcf_onl', 'ALBERTA_western']\n", - "[ 0.37561722 0.23663785 0.1407288 0.10639488 0.09147532 0.08444829\n", - " 0.07673113 0.07633029 0.0669567 0.06286326 0.05983632 0.05738144\n", - " 0.05470274 0.05058837 0.04930853 0.04566057 0.04321664 0.04182206\n", - " 0.03916249 0.03678462 0.0356032 0.03253282 0.03069793 0.02964383\n", - " 0.0270156 0.0249117 0.02283734 0.02218673 0.02090216 0.02031387\n", - " 0.01628493 0.01472058 0.0118689 0.00484582 0.00236245 0.00116995\n", - " 0.00045642]\n" + "['ALBERTA_edmonto', 'TORONTO_tspace-', 'ALBERTA_educati', 'DUMMY_ORGANIZAT', 'ALBERTA_humanit', 'UVIC_anarchist_', 'ALBERTA_heritag', 'DUMMY_TECHNOLOG', 'ALBERTA_prairie', 'ALBERTA_ottawa_', 'UVIC_at_risk_we', 'UVIC_Research_C', 'TORONTO_panam', 'ALBERTA_fort_mc', 'UVIC_Government', 'DUMMY_SOCIALMED', 'UVIC_50thAnnive', 'UVIC_News-urls.', 'DUMMY_MEDIA', 'DUMMY_OVERALL', 'ALBERTA_western', 'ALBERTA_web_arc', 'UVIC_bc_teacher', 'UVIC_environmen', 'DUMMY_GOVERNMEN', 'WAHR_ymmfire-ur', 'WAHR_panamapape', 'UVIC_trans_web-', 'UVIC_Websites-u', 'UVIC_Calendar', 'UVIC_Digital_Sc', 'WAHR_exln42-all', 'ALBERTA_oil_san', 'ALBERTA_energy_', 'ALBERTA_health_', 'ALBERTA_hcf_onl', 'ALBERTA_canadia', 'UVIC_Faculty_As', 'ALBERTA_univers', 'ALBERTA_lfranco', 'TORONTO_snowden', 'ALBERTA_idle_no', 'ALBERTA_governm', 'ALBERTA_floods_']\n", + "[ 0.37253201 0.24362861 0.14236412 0.10702152 0.09076558 0.08344085\n", + " 0.07649092 0.07555301 0.06629343 0.06246751 0.05944316 0.05655186\n", + " 0.0541493 0.04985318 0.04874764 0.04510133 0.04254919 0.04148181\n", + " 0.03898624 0.03622747 0.03514748 0.03176537 0.03049206 0.02889182\n", + " 0.02633669 0.02449517 0.02230282 0.02156264 0.02017766 0.01964409\n", + " 0.01596118 0.01444484 0.01149279 0.00839045 0.00532358 0.00480345\n", + " 0.00436747 0.00371862 0.00281034 0.00162795 0.00099007 0.00043461]\n" ] }, { "data": { - "image/png": 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SK1euxMvLi9jYWFJSUoiIiCAtLQ1vb28yMzNJTU2lU6dO7N69m5SU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\n", + "image/png": 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ZM/Tu3Ztp06YRFhZGQUEBL7zwAuvXr6du3bo4Ozvz6quvMmbMGPM0dnUC0YYNGygrK2PU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\nKlasiIuLC6GhoRiNRkJCQiy3Jkr8tIxm5gPNS9y+DZCHNn2+FtgHxAB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HWteS/lmqN7qi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\nYVOSJEnN/B/t13O3V795rwAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -246,23 +258,32 @@ "output_type": "stream", "text": [ "Empty DataFrame\n", - "Columns: [ALBERTA_floods_, UVIC_Government, UVIC_Research_C, ALBERTA_humanit, TORONTO_tspace-, UVIC_anarchist_, UVIC_Faculty_As, ALBERTA_fort_mc, UVIC_Websites-u, UVIC_environmen, ALBERTA_ottawa_, WAHR_exln42-all, UVIC_Calendar, ALBERTA_health_, TORONTO_panam, UVIC_trans_web-, UVIC_News-urls., UVIC_50thAnnive, ALBERTA_energy_, UVIC_at_risk_we, ALBERTA_edmonto, ALBERTA_web_arc, ALBERTA_heritag, ALBERTA_prairie, ALBERTA_governm, WAHR_panamapape, TORONTO_snowden, UVIC_Digital_Sc, ALBERTA_oil_san, ALBERTA_lfranco, ALBERTA_educati, ALBERTA_canadia, WAHR_ymmfire-ur, ALBERTA_idle_no, UVIC_bc_teacher, ALBERTA_univers, ALBERTA_hcf_onl, ALBERTA_western]\n", + "Columns: [ALBERTA_edmonto, TORONTO_tspace-, ALBERTA_educati, DUMMY_ORGANIZAT, ALBERTA_humanit, UVIC_anarchist_, ALBERTA_heritag, DUMMY_TECHNOLOG, ALBERTA_prairie, ALBERTA_ottawa_, UVIC_at_risk_we, UVIC_Research_C, TORONTO_panam, ALBERTA_fort_mc, UVIC_Government, DUMMY_SOCIALMED, UVIC_50thAnnive, UVIC_News-urls., DUMMY_MEDIA, DUMMY_OVERALL, ALBERTA_western, ALBERTA_web_arc, UVIC_bc_teacher, UVIC_environmen, DUMMY_GOVERNMEN, WAHR_ymmfire-ur, WAHR_panamapape, UVIC_trans_web-, UVIC_Websites-u, UVIC_Calendar, UVIC_Digital_Sc, WAHR_exln42-all, ALBERTA_oil_san, ALBERTA_energy_, ALBERTA_health_, ALBERTA_hcf_onl, ALBERTA_canadia, UVIC_Faculty_As, ALBERTA_univers, ALBERTA_lfranco, TORONTO_snowden, ALBERTA_idle_no, ALBERTA_governm, ALBERTA_floods_]\n", "Index: []\n", "\n", - "[0 rows x 38 columns]\n" + "[0 rows x 44 columns]\n" ] } ], "source": [ "#print(convert.keys())\n", "#print(convert['TORONTO_snowden'])\n", + "\n", + "\n", "dummy = Compare(convert)\n", "print(dummy.response.loc[dummy.response.sum(axis=1) > dummy.response.shape[1] -1,])" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To create a dummy, we need to know what websites are most commonly." + ] + }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 11, "metadata": { "collapsed": false }, @@ -271,32 +292,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "[(38, 0), (37, 0), (36, 0), (35, 0), (34, 0), (33, 0), (32, 1), (31, 2), (30, 3), (29, 7), (28, 7), (27, 7), (26, 8), (25, 13), (24, 16), (23, 18), (22, 26), (21, 32), (20, 36), (19, 38), (18, 42), (17, 49), (16, 55), (15, 69), (14, 80), (13, 92), (12, 111), (11, 129), (10, 156), (9, 199), (8, 244), (7, 316), (6, 416), (5, 571), (4, 881), (3, 1429), (2, 2717), (1, 7325)]\n" + "[(44, 0), (43, 0), (42, 0), (41, 0), (40, 0), (39, 0), (38, 0), (37, 0), (36, 0), (35, 0), (34, 1), (33, 2), (32, 3), (31, 7), (30, 7), (29, 7), (28, 8), (27, 13), (26, 16), (25, 18), (24, 26), (23, 32), (22, 36), (21, 38), (20, 42), (19, 49), (18, 55), (17, 69), (16, 80), (15, 92), (14, 111), (13, 129), (12, 156), (11, 199), (10, 244), (9, 244), (8, 244), (7, 316), (6, 416), (5, 571), (4, 881), (3, 1429), (2, 2717), (1, 7325)]\n" ] - }, - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "\n", + "#Prints a set of tuples with (number of collection matches proposed, number of actual matches)\n", + "# (i.e. 24, 2) means there are 2 websites that match 24 collections.\n", "dum = [(dummy.response.shape[1]-x, dummy.response.loc[dummy.response.sum(axis=1) > dummy.response.shape[1] -x,].shape[0]) for x in range(dummy.response.shape[1])]\n", "dummy.response.loc[dummy.response.sum(axis=1) > dummy.response.shape[1] -30,].to_csv(\"DUMMY_ALL.csv\")\n", - "\n", - "plt.plot (dum)\n", "print(dum)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": { "collapsed": true }, @@ -355,15 +365,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "['ALBERTA_univers', 'ALBERTA_governm', 'ALBERTA_educati', 'ALBERTA_prairie']\n", - "[ 0.24412506 0.10318302]\n" + "['ALBERTA_western', 'UVIC_50thAnnive', 'UVIC_Government', 'TORONTO_snowden', 'ALBERTA_edmonto', 'TORONTO_tspace-', 'ALBERTA_educati', 'ALBERTA_humanit', 'ALBERTA_web_arc', 'UVIC_bc_teacher', 'UVIC_Faculty_As', 'ALBERTA_health_', 'ALBERTA_fort_mc', 'UVIC_environmen', 'ALBERTA_prairie', 'WAHR_ymmfire-ur', 'WAHR_panamapape', 'UVIC_trans_web-', 'UVIC_Websites-u', 'UVIC_Calendar', 'ALBERTA_ottawa_', 'UVIC_at_risk_we', 'WAHR_exln42-all', 'ALBERTA_oil_san', 'UVIC_Research_C', 'UVIC_News-urls.', 'ALBERTA_energy_', 'TORONTO_panam', 'ALBERTA_canadia', 'UVIC_Digital_Sc', 'UVIC_anarchist_', 'ALBERTA_univers', 'ALBERTA_lfranco', 'ALBERTA_idle_no', 'ALBERTA_governm', 'ALBERTA_floods_']\n", + "[ 0.33083594 0.15839052 0.12393764 0.10975845 0.10566302 0.09170531\n", + " 0.08425702 0.08202609 0.07613285 0.07163024 0.06901112 0.0653676\n", + " 0.06457207 0.06096815 0.05477369 0.05076281 0.04551892 0.0435587\n", + " 0.04032817 0.03900554 0.03888603 0.03610809 0.03388558 0.03280478\n", + " 0.03105121 0.03007958 0.02881261 0.02820911 0.02566633 0.02248523\n", + " 0.02083504 0.01692663 0.01442569 0.01105901 0.002327 ]\n" ] }, { "data": { - "image/png": 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0pjcB8MILL3DOOefw5JNPEhFs2LCh4m+QJEnVU3H2d2b+IiL+BxgcEYcAyzPz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\nlsoxSvJxYG9gq6raCjir20QD5eyq2q7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b65J+W1vrgsr69cFggJahR2ZWHSHKIalxFA81fQ7BJk2aUKtWLRITE6lRo4bx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\nOiZMmKAffvhBM2fO1IoVK1RYWKiZM2dq+PDhysvL00cffaQ77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AAARwiOAAAA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\nAABH/h9PEO074TUkeQAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -371,12 +386,15 @@ } ], "source": [ - "dummy = Compare(collection_var[1])\n" + "#for i in [\"DUMMY_OVERALL\", \"DUMMY_GOVERNMEN\", \"DUMMY_ORGANIZAT\", \"DUMMY_MEDIA\", \"DUMMY_TECHNOLOG\", \"DUMMY_SOCIALMED\"]:\n", + " # del(collection_var[-1][i])\n", + " \n", + "dummy = Compare(collection_var[-1])\n" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": { "collapsed": false }, @@ -385,15 +403,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "['ALBERTA_health_', 'ALBERTA_web_arc', 'ALBERTA_educati', 'ALBERTA_prairie', 'ALBERTA_univers', 'ALBERTA_governm']\n", + "['ALBERTA_health_', 'ALBERTA_univers', 'ALBERTA_prairie', 'ALBERTA_educati', 'ALBERTA_governm', 'ALBERTA_web_arc']\n", "[ 0.249456 0.14206412 0.11168713 0.09933138 0.00521456]\n" ] }, { "data": { - "image/png": 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hEgAAAJ4RIgEAAOBZu5YuACEVFRWN6o+LizsV5QAAADSImUgAAAB4RogEAACAZ4RIAAAA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\nRK5CYII=\n", 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zQiQAAAA8I0QCAADAsw6tXQBCKioqmtQfFxd3KsoBAABoFDORAAAA8IwQCQAAAM8IkQAA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\nr9WkSZO0ePFijRkzRsOHD1e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"text/plain": [ - "" + "" ] }, "metadata": {}, diff --git a/Scripts/compare_collection/UA_Compare.ipynb b/Scripts/compare_collection/UA_Compare.ipynb index 8dcfe41..309b50e 100644 --- a/Scripts/compare_collection/UA_Compare.ipynb +++ b/Scripts/compare_collection/UA_Compare.ipynb @@ -68,7 +68,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 10, "metadata": { "collapsed": false }, @@ -89,14 +89,20 @@ "TWITTER_elxn42\n", "PRAIRIE_PROVINCES\n", "TORONTO_CPP\n", + "DUMMY_OVERALL\n", "FLOODS_2013\n", "FRANCOPHONIE_DE_LOUEST\n", "HCF_ENCYCLOPEDIA\n", "OIL_SANDS\n", "ENERGY_ENV\n", "WEBARCHIVE_GENERAL\n", + "DUMMY_GOVERNMENT\n", "BUSINESS_GREY_LIT\n", - "TORONTO_tspace-urls.txt\n" + "DUMMY_TECHNOLOGY_SITES\n", + "DUMMY_ORGANIZATION\n", + "DUMMY_MEDIA\n", + "TORONTO_tspace-urls.txt\n", + "DUMMY_SOCIALMEDIA\n" ] } ], @@ -114,7 +120,8 @@ " for filename in os.listdir(path):\n", " with open(path+filename, \"r\") as file:\n", " print (filename) #see the filenames available.\n", - " urls.append(list({(filename[0:10], line.translate(str.maketrans(')',\" \")).split(\",\")[0][2:6], line.translate(str.maketrans(')',\" \")).split(\",\")[1]) for line in file.readlines()}))\n", + " #print(urls[1])\n", + " urls.append(list({(filename[0:10], line.translate(str.maketrans(')',\" \")).split(\",\")[0][2:6], line.translate(str.maketrans(')',\" \")).split(\",\")[1].strip()) for line in file.readlines()}))\n", " return(urls)\n", "\n", "#newdict = defaultdict(dict)\n", @@ -126,11 +133,14 @@ "#print (**collect)\n", "for collect in PC:\n", " for coll, date, url in collect:\n", - " newdict[date][coll].append(url)\n", + " if coll == 'DUMMY_SOCI' or coll == 'DUMMY_GOVE' or coll == 'DUMMY_MEDI' or coll == 'DUMMY_TECH' or coll == 'DUMMY_OVER' or coll == 'DUMMY_ORGA':\n", + " pass\n", + " else:\n", + " newdict[date][coll].append(url)\n", " \n", "for collect in PC:\n", " for coll, date, url in collect:\n", - " if coll == 'HCF_ENCYCL' or coll == 'HERITAGE_C':\n", + " if coll == 'HCF_ENCYCL' or coll == 'HERITAGE_C' or coll == 'DUMMY_SOCI' or coll == 'DUMMY_GOVE' or coll == 'DUMMY_MEDI' or coll == 'DUMMY_TECH' or coll == 'DUMMY_OVER' or coll == 'DUMMY_ORGA':\n", " pass\n", " else:\n", " newdict2[date][coll].append(url)\n", @@ -142,7 +152,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 11, "metadata": { "collapsed": false }, @@ -206,7 +216,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 12, "metadata": { "collapsed": false }, @@ -215,15 +225,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "['HEALTH_SCI', 'HERITAGE_C', 'HCF_ENCYCL', 'WEBARCHIVE', 'EDUCATION_', 'PRAIRIE_PR']\n", + "['HCF_ENCYCL', 'WEBARCHIVE', 'HEALTH_SCI', 'HERITAGE_C', 'EDUCATION_', 'PRAIRIE_PR']\n", "[ 0.68950133 0.24750168 0.14032739 0.00103307]\n" ] }, { "data": { - "image/png": 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WJkmSpDVr7iKGUyKiH7A8pfSvNqpJkiRJTWiuCxUKXaUJICL2j4j/iIivtW5ZkiRJakxz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\nfve7zJkzh5qaGs4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58EfgEeCglNLRwEvAYxFx6lqoT5Ikab3X0BiuI1NK3wYOBk4FSCk9BHwb6JC5NkmSpCah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\n77zzzkodS5I2FOP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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -232,10 +242,10 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 4, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -248,7 +258,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "After examining the graphs across all years we've established that the Heritage Community Foundation collections are pretty unique in terms of common links. The below graph shows the graph for all the website links cumulative to 2016. The factor difference across the horizontal line grew from about 1 to between 6 & 8. These values are related to Chi-squared distance and reflect the degree to which the HCF collection is different from the rest of the crowd. \n", + "After examining the graphs across all years we've established that the Heritage Community Foundation collections are pretty unique in terms of common links. The below graph shows the graph for all the website links cumulative to 2016. The factor difference across the horizontal line grew from about 1 to between 6 & 8. These values are related to Chi-squared distance and reflect how much the HCF collection is different from the rest of the crowd. \n", "\n", "There is also another factor, again accounting for about 26 % of the differences showing a spectrum between the panama papers and energy and the environment. Unfortunately, the HCF factors are obscuring the differences among the other collections.\n", "\n", @@ -257,7 +267,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 14, "metadata": { "collapsed": false }, @@ -266,7 +276,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "['TWITTER_pa', 'WEBARCHIVE', 'TWITTER_el', 'ENERGY_ENV', 'PRAIRIE_PR', 'OTTAWA_SHO', 'TWITTER_ym', 'HUMANITIES', 'HCF_ENCYCL', 'FLOODS_201', 'UVIC_envir', 'OIL_SANDS', 'HERITAGE_C', 'TORONTO_ts', 'TORONTO_CP', 'IDLENOMORE', 'HEALTH_SCI', 'FRANCOPHON', 'EDUCATION_', 'BUSINESS_G']\n", + "['TWITTER_pa', 'ENERGY_ENV', 'OTTAWA_SHO', 'EDUCATION_', 'HUMANITIES', 'UVIC_envir', 'TORONTO_CP', 'WEBARCHIVE', 'IDLENOMORE', 'TORONTO_ts', 'FLOODS_201', 'TWITTER_el', 'OIL_SANDS', 'FRANCOPHON', 'HEALTH_SCI', 'TWITTER_ym', 'BUSINESS_G', 'PRAIRIE_PR', 'HCF_ENCYCL', 'HERITAGE_C']\n", "[ 0.54005097 0.26434114 0.15230647 0.12275117 0.09696571 0.08822895\n", " 0.08497294 0.08368571 0.07894521 0.06204034 0.0591887 0.04768065\n", " 0.04363982 0.04213638 0.03965712 0.03866485 0.03397134 0.03223251\n", @@ -275,9 +285,9 @@ }, { "data": { - "image/png": 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9LrzwQsLDwzl+/DhhYWHMmTOHrKwsLrnkEi688EI8Hg/bt29nzJgxrF+/ntde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\n", 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3XM477zwiIiI4fvw4YWFhLFiwgKysLC688ELOP/98PB4Pu3btYuLEiXz22We8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\nZcuW8fXXX9O8eXOysrL82/7yl79k1qxZRdb82muvUb9+/ULn/+abb9i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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -286,10 +296,10 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 5, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -307,7 +317,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 16, "metadata": { "collapsed": false }, @@ -318,20 +328,20 @@ "text": [ "Links that all collections have in common: \n", "\n", - "www.apple.com , get.adobe.com \n", + "www.adobe.com, library.usask.ca, www.macromedia.com, get.adobe.com, www.albertasource.ca\n", "\n", "\n", "\n", "Links that the HCF collections have in common: \n", "\n", - "www.youtube.com , beacon-1.newrelic.com \n" + "www.scs.sk.ca, www.law.umkc.edu, www.lubiconsolidarity.ca, epe.lac-bac.gc.ca, www.jasper.travel, www.virtualmuseum.ca, www.legacymagazine.ab.ca, www.pc.gc.ca, tpr.alberta.ca, www.uwgb.edu, www.schoolnet.ca, audio.gockua.com, www.plateaupress.com, www.youthsource.ab.ca, www.kenmcgoogan.com, www.oilersheritage.com, www3.bc.sympatico.ca, collection.nlc-bnc.ca, www.nps.gov, www.telusplanet.net, www.csc-scc.gc.ca, collections.ic.gc.ca, www.whitepinepictures.com, www.whiteoak.org, www.metismuseum.ca, www.tvdsb.on.ca, activex.microsoft.com, www.real.com, 66.244.199.219, www.nlc-bnc.ca, kenmcgoogan.blogspot.com, www.cd.gov.ab.ca, www.atlascoalmine.ab.ca, www.heritagecommunityfdn.org, atlas.gc.ca, www.apple.com, www.coalking.ca, www.metisnation.ca, www.collectionscanada.ca, www.precisionscale.com, www.republiquelibre.org, www.realnetworks.com, www.edukits.ca, www.northlandsmemories.com, www.jaspercanadianrockies.com, alaskahighway.albertasource.ca, www.aseniwuche.com, www.glenbow.org, www.usask.ca, heritagecommunityfdn.org, qtinstall.apple.com, www.abheritage.ca, www.ainc-inac.gc.ca, www.albertahistory.org, www.ammsa.com, tprc.alberta.ca, www.alittlehistory.com, www.ibike.org, www.doorsopenalberta.com, www.collectionscanada.gc.ca, www.albertaheritage.net, atlas.nrcan.gc.ca, www.ualbertacentennial.ca, www.winamp.com, www.thecanadianencyclopedia.com, www.creativeedmonton.ca, www.bcstats.gov.bc.ca, www.hcffriends.org, www.rupertsland.ca, www.saskschools.ca, www.orangenet.org\n" ] }, { "data": { - "image/png": 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WaSUfQAVXs66L6P4osB9rxQNBC3mn5CYYMqHTrMpenl/UTneF3RBVSJP/M4ob\nMvlYqY6LzxbEkN8I9meuCawUsAWAeOXzPHlS0rptCqT61S6qNlUA63Sl7va7nGIRvJBXjWE3Rpng\nakE1DqDKNnY37uGN2bb6WSE03h7BTX9S0kMmswUv5J23/C7AmDy9kfXzM7xwfDX7x/W7Tp3JUdX6\nLmpeiwCrdKXaQiwZghrym7BRNiZ4YqS7ajyqtIJs4PFTykiUWR9yXhIppv1LGS7gbSLDLMEMedUe\nSnRGORNob3ojxLI9S6xGePyUXpJirdDhmnBfFxXb1+pKbfa7lGIUzJB3sv/sNabY9fs7q0oMeI7d\njVWsPilOyi7E5iy6t4fG/96iK/Ulv0spVsENedXtuMVEjAmCnageGGijKi8BW9g6rZrnFtv4+Zyk\nlMbbtxHpfdLvSopZcEPeWe93Acbk6PUc9nkMiPH2UTW8PO/gKNcTfNWvbWb8Y3ahdQhBD/nXgLjf\nRRgzhB7c/R2DUqUbWAUorxxXa0E/iERkKw33P2o3PA1N3Mp6ASayDDjJ7zKMGcTzqD6f684inAyc\nDMDRW2Octq6KiAa9QVY4+xr28eL8B3RXozXwchCGX5xXsOGUpnj1AC8P85i1pFv+m2fWsOr0Hnpt\neCUAG2e289C7HrOAz13wQ94tJlKyS3uZoveKN+Q3Z+qmOVgFuCGBeyZV8fuzU8Qqh3WeUElEkqxe\n2sEzS59QtfWehyP4Ie+sw80JYkwxyacVD4AqKeAR0msodNaW89t3l7FjculNgdBRE+d35/TQPPNx\nVVsGdLiC3yefJnI2MN/vMozJ8AKqz47kBCJEgYuB6YeePGZzjBPXVxJNhX/5wM3TYzyzJEqq7CFV\nm7MqH2EK+XrgSkD8LsUYoBf4aXoyspEQoRwX9NMOPVkT62X52gSN+6tHev6iFKvqYc0JKXZMiQK/\nt4DPX3hCHkBkObDQ7zKMAV5EdU2hTiZCBDgLOK7PhjlbYix5vZyqnvJ+DwyaZCTF+rldvDqvBo3E\ngIdVsWmDRyBsIV+Ja81X+V2KKWndwJ2FaMVnE+EE4FQyr6dJSlnwdhcL3q6gIhEt9GuOme2TY6xZ\nUkFXVRR3LWKVd++AGYFwhTyAyHzgbL/LMCXtMVTfHK2TizAVOA+o7bMhmkix6M0u5m2uCkx/fQpl\n+xFdvHxslP3jK3ALAj0PvKC2mEpBhC/kAUQuAyb7XYYpSTtQvX+0X0SEKlz3zezDNpb3JjmmOc4x\nW8qoi1WQn2o5AAAJXElEQVSOdi15SZQl2Tgzzvp56ZY7QBeu9W4jaAoorCE/Bfig32WYkpMC7kG1\nbaxeUISZwJlAQ787TGqLM39jihm7KilL+TtkWlH218fZNDPFW0dWkYym60nh7nV5TtWmKSm0cIY8\ngMg5ZF+kMmZ0rUP1mbF+Ue+i7GLc9B79X4CNJlLM3NnN9F0wpbWc6vg7+/V0RvnNtV9BU1FUI0ya\nt5Z3f+uBghSXkhSt4+O0TFOaZ2S22tNagKdU2V+Q1zOHCXPIVwEfBir8LsWUhE7gLlR9m2JDhFrg\nFOAYhrrRsfZgLzN29zJ9N4xvj8LOWmom9JLsEe775NdZ/JGfc8zFm4ddRKyyhwP1CfY1wJ6JEfZM\nqMhosWfaDzyt2nelLFN4wb0SPxTVbkRWA+/2uxRTElb7GfAAqhwEHhNhDXA8sADofxz9wdpy3pxd\nzptel34kGWd8Ry81G6P0AnvquqiYGiOahEhKKEtBWVIQoCeqxCuhuzJFdwV0V0borBFaG8rpLa9g\n8IbVTtx8U5u9u3rNKAtvSz5N5Fxcy8aY0bIR1Uf8LiKbCGXAXGAR0Dj43r0CM66H/ZPh7MfgkV8V\nsJQe4C3gdVX2FvC8JgelEPIVwOXAOL9LMaHUCfxiuJOQjTURJgCzvMdUYIAhlpuq4D3Xwj/9DD60\nYwQv2Qlsw/W5N6tis2j6JPwhDyByBPB+bMoDU1gK3I/qTr8LGQ5vPpzpuMA/AjcyJ6Pr9k/eC9Vx\nuHs4f53EgB24YN+uaktzFovw9slnUt2FyPPAMr9LMaGyNmgBD6BKAtjiPRCpa4TPVcF3BdY1wpOf\ngQ/8DHgT1zDKfKRwrfROoMN7dHrnNEWoNFryACICvA/3p6oxI7UV+B0h+ACJyGLgdtyInAhwp6r+\nvb9VmUIpnZAHEKnD9c8X512AJigO4m56snlVTNELy6IhuVHtxC3EYEO3TL7cYh4W8CYgSivkAVS3\nAU/6XYYJrMdR3eV3EcbkqvRCHkD1NdwNGcYMxxpUN/hdhDHDUZoh7zwFbPa7CBMYr6L6ot9FGDNc\npRvy7orzo7jbrI0ZzCZgtd9FGJOP0g15ANUk8CDYDHhmQDuBVWM5VFJENombjiPzuRUi8oT3/WYR\niYlIu4h0eF9/kLFfwntuv4i8ICLvzTjPUSKSEpGIiPw24/geEYl737eLyL9mHHO0iCRF5NYB6v2c\niKwTkYMisl1EVonIlRnbHxORroxzt4vIvTn8O4wTkZtFpNk7ZoOI3CQiE4f/r1q6SjvkAW+Jtgew\noDeHawMe9BoDxUAzvr5XVetVdZz39QsZ+632nmsAfgT8XNxC933Oo6qXpo8H/ge40TuuXlWvzdj/\naqAVuFJE+kxlLCK3AF8A/g8wEZgBfAO4KOv1rs04d72qfmCwN+q9zircJGsXejWeAezFLX9ocmQh\nD6AaA+7H/SIbA+534TejsU5rgeQ6RccduGUC543gta7GBXcv7oZCV4DIPOAzwJWqukpV4+qsVtVr\n8qw3bQUwE/igqr4BoKp7VfU7qvr7vN9JCbKQT1PtwrXobZY8sxs3J03M70IyDHveJREpA67BzQLZ\nnNeLipyFa53/HLgbF75p5wJbVPWFfM49hPOA36v7XJoRsJDP5G5weQD3ITelaTvF0YL/tYi0ph9A\ndn94enub9/UTGdvO8I7pAv4R+Jiq5tt4uRr4raoeAH4KXCwi6WmLG8kauCAiLV5NXSIyK2PTLVn1\nNg3xupNwE56ZEbKQz+amjP0N9gtWippx89H0+l0I8AFVnZh+ANcOsH2C9/W2jG1Pecc0APcBZ+dT\ngLjV1T6EC3dU9Wnc1MEf8XbZB0zLPEZVZ+HCv4K+f318PqvelUO8/GHnNvmxkO+P+5D/DjcJlSkN\nG4CHi+gi61DdM0N236jrbroW+LiILMmjhsuAeuBfRWSHiOzATVGc7rJZBcwUkZPyqW8IjwAXiUj/\nK1uZnFnID8Qt5fZ74FW/SzGj7hVU/4Bq6OY0UtU24P8CmS3nXAN4BXAbbpHwJd7jXcBSEVmoqm8C\nP8GN3jlfRKpEJAIs552RQPm6A/dXwz0icpw4k0Tkr0Xk4hGeu6RYyA9GNYXqk8DjYCvbhFASNxdN\nsd3olEtA3p817vyeQfb9F+ASEVk0yPn7PCci03EXVr+vqrszHmtxf+WuAFDVzwI/AG7CdbG0AE3A\nFaqauUj3DzNq7RCRZwd7c+q6Tc8HXgceBg4AT+P66p8Z7FjTV2lNNTwSIlOAC4Eav0sxBdEJPET+\nFySNCQQL+eEQqQEuwC2ZZoJrK+4uVpsu2ISeddcMxzs3Tb3udykmby/gRtBYwPvM61/vyOp2aheR\n3/hdW5hYSz5fInNxF5iq/C7F5KQH+AOqed0UZExQWciPhBve9S5gtt+lmEFtAZ5A9aDfhRgz1izk\nC8Fa9cWqB1iNG+pnTEmykC8U16o/Czja50qMswl4ssjmnzFmzFnIF5rIMcDp2FBLv3QCf6TvGG1j\nSpaF/Ghwc2EvBU4AynyuplT0Ai8DL3p3KxtjsJAfXSJ1uAUOjvG7lBBLAeuBF7BpaY05jIX8WBCZ\nBJwCHOl3KSGiuEnFnkO10+9ijClWFvJjSWQqcDJuEQaTv03As6jako3GDMFC3g8iE4BFuCXZoj5X\nExQJ4G3gVZtvxpjcWcj7yS3KMB9YiFuH0xyuHdfn/kYRrNZkTOBYyBcDNwf30bh5u23yM9ff3oJr\ntbf4XYwxQWYhX2xE6oE53qNxiL3DZh+wGXgT1Q6fazEmFCzki1n4A1+BXbhg34xqu7/lGBM+FvJB\nITIONxHaDFyXToW/BeUtCWzHjZBptrHtxowuC/kgEhFgIjA141GsF267ca31nd5jTxjXUjWmWFnI\nh4Vr6U/Fhf8EoAEYR+6LNo9UAjdvTAeub30vLtCtb90YH1nIh5lIGS7o64B672sNUO49KrK+luP+\nU1BcaCe9r5mPXuAgLszfedhsj8YUJQt505dIxLpTjAkPC3ljjAkxW8jbGGNCzELeGGNCzELeGGNC\nzELeGGNCzELeGGNCzELeGGNCzELeGGNCzELeGGNCzELeGGNCzELeGGNCzELeGGNCzELeGGNCzELe\nGGNCzELeGGNCzELeGGNCzELeGGNCzELeGGNCzELeGGNCzELeGGNCzELeGGNCzELeGGNCzELeGGNC\nzELeGGNCzELeGGNC7P8DpSfnaOMIGDwAAAAASUVORK5CYII=\n", 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S9afC2FoYlu/DEO3A034bkQ/4LlQAVd7At3AdOyNw+T/BNb90atZufrUIzl57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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -339,7 +349,7 @@ } ], "source": [ - "compare1 = Compare(collection_var[-1], index=[3,8,12])\n", + "compare1 = Compare(collection_var[-1], index=[19,18,12])\n", "print(\"Links that all collections have in common: \\n\\n\" + ', '.join(compare1.V3_ABC)) \n", "print(\"\\n\\n\")\n", "print(\"Links that the HCF collections have in common: \\n\\n\" + ', '.join(compare1.V3_AB))\n" @@ -354,39 +364,7 @@ }, { "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "Compare(collection_var2[-6]) #2011" - ] - }, - { - "cell_type": "code", - "execution_count": 10, + "execution_count": 20, "metadata": { "collapsed": false }, @@ -395,15 +373,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "['WEBARCHIVE', 'EDUCATION_', 'HEALTH_SCI', 'PRAIRIE_PR']\n", + "['HEALTH_SCI', 'EDUCATION_', 'WEBARCHIVE', 'PRAIRIE_PR']\n", "[ 2.45997813e-01 1.42852568e-01 1.14147638e-04]\n" ] }, { "data": { - "image/png": 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hsJMkSSqEwU6SJKkQBjtJkqRCGOwkSZIKYbCTJEkqhMFOkiSpEAY7SZKkQhjs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\nUiEMdpIkSYVwKVaSJPU9a9b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U0uG6b5WeuVsN/JDSMiSbA9sCqzLz2UqVSpIk9SXtrYXb3NzM3nvvzUc/+lGu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\nV2oZ7o4BLitvXwZ8YOMOmfn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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -412,10 +390,10 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -426,7 +404,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": { "collapsed": false }, @@ -435,30 +413,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "['HEALTH_SCI', 'HUMANITIES', 'FRANCOPHON', 'WEBARCHIVE', 'EDUCATION_', 'BUSINESS_G', 'ENERGY_ENV', 'PRAIRIE_PR', 'FLOODS_201', 'IDLENOMORE']\n", - "[ 0.21292592 0.13005687 0.09962973 0.09565441 0.0785778 0.05445197\n", - " 0.02752145 0.02144237 0.00478507]\n" + "['FLOODS_201', 'HUMANITIES', 'FRANCOPHON', 'WEBARCHIVE', 'HEALTH_SCI', 'ENERGY_ENV', 'IDLENOMORE', 'BUSINESS_G', 'EDUCATION_', 'PRAIRIE_PR']\n" ] - }, - { - "data": { - "image/png": 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+rrjiCo0ePVr9+/cv9DWefPJJ/fWvf9XJkye9AlreUOOKFSuUkZGhq6++WuXK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\nS4MGDdLKlSvP+3XgDIJXSeO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QPQCgdgg0jBPagVorkHtrlqlocVoAQGUEOpnD4ZM+AASPv27NivzVfxEAkSrQ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\nR0KOvXPnTl5//XUuvPDCaufr378/r7zyCgDvvfceQ4YMITU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+jzPW2uBX468IY66Q9G9rbetC9tW21n6f8/3VkqZZa6/wcR7rhNcDONXIkSM1fPjwYj2G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\n1qxZw44dO7DWetucJScn+wXSCxYs4NVXX+XAgQN+2xtjqFOn/GHChAk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H7N2rD9asuXULyM0F0tJU7zY6OhqXL1/GU089ZbKuqKgId999N37//XecOnUK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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "Compare(collection_var2[-1]) #2015" + "Compare(collection_var2[-1]) #2016" ] }, { diff --git a/Scripts/compare_collection/UA_CompareUVIC.ipynb b/Scripts/compare_collection/UA_CompareUVIC.ipynb index 21c9d9b..05c8db5 100644 --- a/Scripts/compare_collection/UA_CompareUVIC.ipynb +++ b/Scripts/compare_collection/UA_CompareUVIC.ipynb @@ -14,12 +14,12 @@ "\n", "I have called this tool / library *Compare* because it uses Warcbase derivative data from the archives / WARC files.\n", "\n", - "Compare uses Multiple Correspondence Analysis (MCA) to explore relationships among different collections of data. It is like factor analysis. I have a demo of MCA [using parliamentary committees and MPs as a sample.](https://github.com/web-archive-group/WALK/blob/master/Scripts/compare_collection/UnderstandingMCA.ipynb). \n" + "Compare uses either Simple (CA) or Multiple Correspondence Analysis (MCA) to explore relationships among different collections of data. It is like factor analysis. I have a demo of Simple CA [using parliamentary committees and MPs as a sample.](https://github.com/web-archive-group/WALK/blob/master/Scripts/compare_collection/UnderstandingMCA.ipynb). \n" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 47, "metadata": { "collapsed": false }, @@ -45,13 +45,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "While many questions could be answered using MCA, we have decided to focus on a simple problem statement: ***Can we conduct an evaluation of a collection of web archives using data analytics?*** For this demo, I have included a number of items:\n", + "While many questions could be answered using MCA, we have decided to focus on a simple problem statement: ***Can we conduct an evaluation of a collection of web archives using data analytics?*** For this demo, I have included a number of collections:\n", "\n", - "- Two 'dummy' collections (HUMANITIES COMPUTING & UNIVERSITY OF TORONTO T-SPACE)\n", "- Two 'external' collections (UofA prairie provinces & UFT Canadian Labour Unions)\n", "- Three Twitter crawls.\n", "- University of Victoria collections (10 in all)\n", "\n", + "We have also included some dummy collections based on the most popular websites, categorized by media, social media, government, tech industry and NGOs.\n", + "\n", "While there are a number of ways we could compare the collections, this example will use web domain names (urls). Often MCA tries to compare both factors (collections *and* urls) but including the urls would be too difficult. (Besides, do we really need to understand why www.youtube.com is in multiple collections?) The urls will be represented by off-white squares and no labels to keep them from confusing the analysis.\n", "\n", "We assume that libraries will continue not to count format as a selection criteria, meaning that web archives are selected on the same criteria as books, journals or any other source. We have decided to focus on the following principles of collection management, however:\n", @@ -68,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 48, "metadata": { "collapsed": false }, @@ -81,7 +82,6 @@ "UVIC_VI_Gov\n", "WAHR_exln42-all.txt\n", "UVIC_Websites\n", - "TORONTO_canadian_labour_unions-urls.txt\n", "WAHR_panamapapers-urls.txt\n", "UVIC_anarchist_archives-urls.txt\n", "UVIC_environmental_organizations_and_resources_of_bc-urls.txt\n", @@ -90,10 +90,14 @@ "WAHR_ymmfire-urls.txt\n", "UVIC_50thanniversary\n", "UVIC_DigitalScholarship\n", - "TORONTO_tspace-urls.txt\n", + "DUMMY\n", + "DUMMY_GOVERNMENT\n", + "SOCIALMEDIADUMMY\n", + "ORGDUMMY\n", + "TECHDUMMY\n", + "DUMMY_MEDIA\n", "UVIC_Calendar\n", "UVIC_Faculty\n", - "ALBERTA_prairie_provinces-urls.txt\n", "UVIC_Research_Centres\n" ] } @@ -112,7 +116,7 @@ " for filename in os.listdir(path):\n", " with open(path+filename, \"r\") as file:\n", " print (filename) #see the filenames available.\n", - " urls.append(list({(filename[0:10], line.translate(str.maketrans(')',\" \")).split(\",\")[0][2:6], line.translate(str.maketrans(')',\" \")).split(\",\")[1]) for line in file.readlines()}))\n", + " urls.append(list({(filename[0:15], line.translate(str.maketrans(')',\" \")).split(\",\")[0][2:6], line.translate(str.maketrans(')',\" \")).split(\",\")[1].strip()) for line in file.readlines()}))\n", " return(urls)\n", "\n", "#newdict = defaultdict(dict)\n", @@ -128,6 +132,14 @@ "\n", "# newdict will provide all the data like so:\n", "\n", + "#newdict2 eliminates collections in if-then statement.\n", + "for collect in PC:\n", + " for coll, date, url in collect:\n", + " if coll == 'ALBERTA_heritag' or coll=='DUMMY_GOVERNMEN' or coll == 'ALBERTA_hcf_onl' or coll==\"DUMMY_MEDIA\" or coll==\"DUMMY\" or coll== \"ORGDUMMY\" or coll== \"TECHDUMMY\" or coll== \"SOCIALMEDIADUMM\" or coll==\"GOVDUMMY\":\n", + " pass\n", + " else:\n", + " newdict2[date][coll].append(url)\n", + "\n", "#{'DATE': {'COLLECTION': ['url1.com', 'url2.com', 'etc']}}\n", "#\n", "\n", @@ -136,7 +148,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 49, "metadata": { "collapsed": false }, @@ -178,7 +190,12 @@ " #print(dict_list)\n", " return(dict_list)\n", "\n", - "collection_var = reduce_collections (copy.deepcopy(newdict))\n", + "def removekey(d, key):\n", + " r = dict(d)\n", + " del r[key]\n", + " return r\n", + "\n", + "collection_var = reduce_collections (copy.deepcopy(newdict2))\n", "\n", "# Collection var is a list of dictionaries starting from the earliest to the latest. The later dictionaries\n", "# are accumulations of the former.\n" @@ -188,33 +205,23 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First we will start with the earliest date (2011). Two collections have data listed for these dates.\n", - "\n", - "- Canadian Labor Unions\n", - "- Prairie Provinces (UofA)\n", + "First we will start with the earliest date (2014). Eleven collections have data listed for these dates.\n", "\n", - "When there are fewer than 3 collections, you get a venn diagram showing the cross-connections. You can also extract data using V2_AB object or V3_ABC (if there are three items)." + "When there are fewer than 3 collections, you get a venn diagram showing the cross-connections. You can also extract data using V2_AB object or V3_ABC (if there are three items). " ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 50, "metadata": { "collapsed": false }, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "There are 31 members in common. They are : {'get.adobe.com ', 'www.adobe.com ', 'www.surveymonkey.com ', 'accounts.google.com ', '0.gravatar.com ', 'm.youtube.com ', 'blogs.law.harvard.edu ', 'feeds.feedburner.com ', 'qtinstall.apple.com ', 'youtu.be ', 'www.youtube.com ', '1.gravatar.com ', 'www.cbc.ca ', 'bit.ly ', 'a123.g.akamai.net ', 'activex.microsoft.com ', 'www.thestar.com ', 'www.ustream.tv ', 'wp.me ', 'twitter.com ', 'www.flickr.com ', 'www.macromedia.com ', 'www.apple.com ', 'web.resource.org ', 'www.winnipegfreepress.com ', 'purl.org ', 'www.petroleumnews.com ', 'www.w3.org ', 'www.google.com ', 'gmpg.org ', 'support.google.com '}\n" - ] - }, { "data": { - "image/png": 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -222,20 +229,30 @@ } ], "source": [ - "UVIC = Compare(collection_var[5])\n", - "print(\"There are \"+ str(len(UVIC.V2_AB)) + \" members in common. They are : \" + str(UVIC.V2_AB))" + "x = Compare({\"happy\": [\"ecstatic\", \"bursting\", \"nostalgic\"], \"sad\": [\"down\", \"depressed\", \"nostalgic\"]}, LABEL_BOTH_FACTORS=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In 2012, both collections grew, but the Alberta provinces grew more. Perhaps some content analysis or a Q-sort could be done to analyse what changed?" + "In 2014, we have eleven collections and move to correspondence analysis. \n", + "\n", + "To analyse, I suggest a three pronged approach.\n", + "\n", + "- HA: What does the horizontal axis mean?\n", + "- VA: What does the vertical axis mean?\n", + "- QUA: Can we name the quadrants?\n", + "- CLUS: What sources have clustered together\n", + "\n", + "HA-VA-QUA-CLUS!\n", + "\n", + "We can speculate, for instance, that the horizontal axis represents collections specific to UVIC and collections curated by UVIC about other issues. The vertical axis, may have something to do with the differences between Vancouver Island local news and the other collections." ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 51, "metadata": { "collapsed": false }, @@ -244,14 +261,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "There are 175 members in common. They are : {'get.adobe.com ', 'www.makepovertyhistory.ca ', 'www.caw.ca ', 'www.cic.gc.ca ', 'gmail.com ', 'accounts.google.com ', 'www.liberal.ca ', 'www.una.ab.ca ', 'youtu.be ', 'www.progressive-economics.ca ', 'www.ogilvyrenault.com ', 'www.alberta.cupe.ca ', 'www.ipetitions.com ', 'www.cbc.ca ', 'www2.canada.com ', 'www2.parl.gc.ca ', 'www.cvent.com ', 'www.savealbertahospital.com ', 'www.ec.gc.ca ', 'a123.g.akamai.net ', 'rabble.ca ', 'www.gnb.ca ', 'wp.me ', 'twitter.com ', 'communities.canada.com ', 'web.resource.org ', 'www.albertacourts.ab.ca ', 'www.newswire.ca ', 'www.wd.gc.ca ', '2.bp.blogspot.com ', 'cnews.canoe.ca ', 'www.nrcan.gc.ca ', 'www.justice.gc.ca ', 'www.cra-arc.gc.ca ', 'www.rcmp-grc.gc.ca ', 'www.blogblog.com ', 'hotmail.com ', 'bctf.ca ', 'laws-lois.justice.gc.ca ', 'www.ontla.on.ca ', 'www.nrc-cnrc.gc.ca ', 's0.wp.com ', 'www.cwa-scacanada.ca ', 'gmpg.org ', 'metronews.ca ', 'www.canadians.org ', 'www.theglobeandmail.com ', 's2.wp.com ', 'tinyurl.com ', 'en.wikipedia.org ', 'www.youtube.com ', 'r-login.wordpress.com ', 'www.fcm.ca ', 'bp1.blogger.com ', 'www.hrsdc.gc.ca ', 'bit.ly ', 'login.live.com ', 'www.phac-aspc.gc.ca ', 'microsoft.com ', 'members.shaw.ca ', 'friendsofmedicare.org ', 'www.hc-sc.gc.ca ', 'www.icloud.com ', 'youtube.com ', 'www.health.alberta.ca ', 'www.winnipegfreepress.com ', 'www.nupge.ca ', 'www.caut.ca ', 'www.un.org ', 'cupe.ca ', 'www.gov.ns.ca ', 'www.petroleumnews.com ', 'www.gov.sk.ca ', 'www.canadianlabour.ca ', 'www.friendsofmedicare.org ', 'www.mtroyal.ca ', 'www.vancouversun.com ', 'laws.justice.gc.ca ', 'www.kairoscanada.org ', 'www.slideshare.net ', 'www.waramps.ca ', 'www.utoronto.ca ', 'www.fairvotecanada.org ', 'www.policyalternatives.ca ', 'www.aenweb.ca ', 'www.globalnews.ca ', 'canada.gc.ca ', 'static.flowplayer.org ', 'www.aflcio.org ', 'qtinstall.apple.com ', 'www.citizen.org ', 'video.google.com ', 'www.metronews.ca ', 'en.wordpress.com ', 'www.aupe.org ', 'gov.mb.ca ', 'www.toronto.ca ', 'www.ustream.tv ', 'search.yahoo.com ', 'www.calgaryherald.com ', 'www.cep.ca ', 'www.crtc.gc.ca ', 'www.statcan.gc.ca ', 'www.pialberta.org ', 'schemas.xmlsoap.org ', 'webns.net ', 'www.rabble.ca ', 'w.soundcloud.com ', 'afl.org ', 'www.canoe.ca ', 'purl.org ', 'www.gov.mb.ca ', 'pialberta.org ', 'www.microsoft.com ', 'www.legis.gov.bc.ca ', 'wordpress.com ', 'sen.parl.gc.ca ', 'www.google.com ', 'www.afl.org ', 'www.aadnc-aandc.gc.ca ', 'watch.bnn.ca ', 'www.adobe.com ', 'www.nald.ca ', 'www.surveymonkey.com ', 'students.washington.edu ', 'www.wcb.ab.ca ', 'www.gov.bc.ca ', '0.gravatar.com ', '1.bp.blogspot.com ', 'www.veterans.gc.ca ', 'www.nursesunions.ca ', 'm.youtube.com ', 'blogs.law.harvard.edu ', 'feeds.feedburner.com ', '1.gravatar.com ', 'www.pc.gc.ca ', 'maps.google.com ', 's1.wp.com ', 'www.cknw.com ', 'www.parl.gc.ca ', 'www.ndp.ca ', 'www.greenpeace.org ', 'www.cfs-fcee.ca ', 'bp0.blogger.com ', 'www.wellesleyinstitute.com ', 'www.thestar.com ', 'www.citizensassembly.gov.on.ca ', 'sgnews.ca ', 'aupe.org ', 'www.flickr.com ', 'www.macromedia.com ', 'parklandinstitute.ca ', 'canadianlabour.ca ', 'www.apple.com ', 'dublincore.org ', 'www.thespec.com ', 'www.blogger.com ', 'www.tbs-sct.gc.ca ', 'www.myspace.com ', 'thetyee.ca ', 'www.greenpeace.ca ', 'www.teachers.ab.ca ', 'www.clac.ca ', 'www.conservative.ca ', 'www.edmonton.ca ', 'maps.google.ca ', 'cdn.livestream.com ', 'mail.google.com ', 'www.leg.bc.ca ', 'www.youtube-nocookie.com ', 'www.servicecanada.gc.ca ', 'www.w3.org ', 'activex.microsoft.com ', 'www.rhdcc-hrsdc.gc.ca ', 'support.google.com '}\n" + "['UVIC_Calendar', 'UVIC_Faculty', 'UVIC_trans_web-', 'UVIC_bc_teacher', 'UVIC_VI_Gov', 'UVIC_environmen', 'UVIC_Research_C', 'UVIC_50thannive', 'UVIC_VI_News', 'UVIC_DigitalSch', 'UVIC_anarchist_']\n", + "[ 0.16606834 0.13785419 0.13304039 0.06120577 0.05600275 0.05021047\n", + " 0.03928356 0.03538299 0.02170198 0.01326725]\n" ] }, { "data": { - "image/png": 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MwayW0K2oKzizNNpsBzYTVrnbBGzV7BkpdwrKNDAbC0wBJie3iaRnnnkzYbH5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\niojkoaAUEcnj/wOXssb8Wc4QuQAAAABJRU5ErkJggg==\n", 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lsWLFCnr37o21FoC0tDTn/t27dwegbt26HD58uMCvRkRKNrX0iciVY/dueP99WLbMEf7S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\np5/OZZddlgMPPDALFixwNxkARkLoY2SqKqeddtq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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -259,60 +278,19 @@ } ], "source": [ - "UFT = Compare(collection_var[6])\n", - "print(\"There are \"+ str(len(UFT.V2_AB)) + \" members in common. They are : \" + str(UFT.V2_AB))" + "UVIC = Compare(collection_var[-3])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In 2013, University of Alberta's humanities collection started. Now we have three collections and can switch to a size-three venn digram.\n", - "\n" + "According to this graph, a strong distinction exists for the VI News collection. Adding a dummy collection puts VI NEWS and trans_web on the same vertical axis but both collections have few connections to the MEDIA DUMMY. This probably means that the \"news\" sites do not link frequently to the more popular news media sites. " ] }, { "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "UFT = Compare(collection_var[7])\n", - "#print(\"There are \"+ str(len(UFT.V3_ABC)) + \" members in common. They are : \" + str(UFT.V3_ABC))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In 2014, we have four collections and move to correspondence analysis. (Scroll down for more descriptions, as 2015 is much more interesting). So far the main item of interest is that the Prairie Provinces and Canadian Labor Unions collections have more in common with each other than with the other two collections.\n", - "\n", - "To analyse, I suggest a three pronged approach.\n", - "\n", - "- HA: What does the horizontal axis mean?\n", - "- VA: What does the vertical axis mean?\n", - "- QUA: Can we name the quadrants?\n", - "- CLUS: What sources have clustered together\n", - "\n", - "HA-VA-QUA-CLUS!" - ] - }, - { - "cell_type": "code", - "execution_count": 20, + "execution_count": 53, "metadata": { "collapsed": false }, @@ -321,16 +299,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "['UVIC_trans', 'UVIC_VI_Ne', 'UVIC_Digit', 'UVIC_Resea', 'UVIC_50tha', 'ALBERTA_pr', 'UVIC_Facul', 'TORONTO_ca', 'UVIC_anarc', 'UVIC_VI_Go', 'UVIC_envir', 'UVIC_bc_te', 'UVIC_Calen']\n", - "[ 0.1803132 0.13855595 0.1345111 0.10558733 0.08643324 0.0753985\n", - " 0.05350332 0.04987229 0.04398311 0.03868155 0.02896122 0.00800649]\n" + "['UVIC_Calendar', 'UVIC_Faculty', 'UVIC_VI_Gov', 'UVIC_50thannive', 'MEDIADUMMY', 'UVIC_DigitalSch', 'UVIC_bc_teacher', 'UVIC_environmen', 'UVIC_Research_C', 'UVIC_VI_News', 'UVIC_trans_web-', 'UVIC_anarchist_']\n", + "[ 0.18835742 0.16179544 0.13806671 0.13314245 0.0592297 0.05543951\n", + " 0.05119499 0.03845224 0.03224291 0.02300074 0.01314313]\n" ] }, { "data": { - "image/png": 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Pl1+u2XkuK6F9zK49liJJUjpt3Fiz87ZurfVbr1mzhmHDhiWHJmOM5OTkMHv2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\nCfzGObf2DOe4SLdTRETEyyZOnMj48eMj3QwBzAznXL3G0Ed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RREdH8/333wOuySEAnTp1AlxdtXXq1CEwMBCAESNGEBkZSWRkJO3atSMyMtLjGkRERC42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\n8NT/B0hjrmov3O7TAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -338,12 +316,22 @@ } ], "source": [ - "compare1 = Compare(collection_var[8]) #2014" + "#collection_var[-3] = removekey(collection_var[-3], 'SOCIALMEDIA')\n", + "collection_var[-3]['MEDIADUMMY'] = newdict['2015']['DUMMY_MEDIA']\n", + "\n", + "UVIC = Compare(collection_var[-3])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Going to 2015 (which is a cumulative look at the collections, so includes both 2014 & 2015) the level of difference among the collections reduces by a lot." ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 55, "metadata": { "collapsed": false }, @@ -352,66 +340,37 @@ "name": "stdout", "output_type": "stream", "text": [ - "['UVIC_trans', 'UVIC_VI_Ne', 'UVIC_Digit', 'UVIC_Resea', 'UVIC_50tha', 'ALBERTA_pr', 'UVIC_Facul', 'TORONTO_ca', 'UVIC_anarc', 'UVIC_envir', 'UVIC_bc_te', 'UVIC_VI_Go']\n", - "[ 0.17641121 0.13855064 0.10648538 0.09473063 0.08625224 0.05396235\n", - " 0.04987808 0.04542015 0.0389036 0.03090474 0.00803939]\n" + "['UVIC_Calendar', 'UVIC_Websites', 'UVIC_Faculty', 'UVIC_VI_Gov', 'UVIC_50thannive', 'UVIC_DigitalSch', 'UVIC_bc_teacher', 'UVIC_environmen', 'UVIC_Research_C', 'UVIC_VI_News', 'UVIC_trans_web-', 'UVIC_anarchist_']\n", + "[ 0.14071597 0.09441055 0.07598815 0.06486787 0.04751476 0.03813857\n", + " 0.03256712 0.03088208 0.0262362 0.02348788 0.00812743]\n" ] }, { "data": { - "image/png": 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nScq4VIPrJdVVeXnp9Xhlocdn1apVDBo0KHnpsGzw/dSpU9l7772rfe9LL73E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\ngZeIiIhIQBR4iYiIiAREgZeIiIhIQP4/k6F/Ny+SYB0AAAAASUVORK5CYII=\n", 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Tn/7Ef/7zHwDuvPNOXnrpJUJCQli0aBGJiYlERkYSFhbG8OHDSU1NBaBPnz784x//oGvX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\n5n1FRL/M3NzRem+BI0mS+pSmpiaOPfZYFixYsLV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"text/plain": [ - "" + "" ] }, "metadata": {}, "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ - "def removekey(d, key):\n", - " r = dict(d)\n", - " del r[key]\n", - " return r\n", - "\n", - "#collection_var2 = removekey(collection_var[8], 'UVIC_Calen')\n", - "\n", - "Compare(removekey(collection_var[8], 'UVIC_Calen')) #2015" + "UVIC = Compare(collection_var[-2])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In 2015, most of the new collections have been introduced. First of all, the UVIC Calendar is quite different from the other collections with only a few links in common with the others.\n", - "\n", - "The factor differences are quite low, suggesting that the differences in terms of link sharing are not very pronounced. Consider that most websites in this era will include the usual adobe, youtube, twitter, facebook and other social media links. While this information may be obvious to us now, a historian 50 years from now may be able to use this to confirm the importance (or the extent of the importance) of sites like YouTube on web collections. \n", - "\n", - "HA: Maybe global (snowden) to local (Toronto pan-am-games)? Also the dummy collections on are the left.\n", - "VA: Maybe humanities to social sciences?\n", - "QUA: \n", - "\n", - "| | |\n", - "| :------------ |:-------------:|\n", - "| T-SPACE | POLITICS |\n", - "| INDIV. RIGHTS | ORGANIZATIONS |\n", - "\n", - "CLUS: Definitely a political cluster, but the others are not very explanatory yet." + "Moving to 2016, we now see the WAHR Twitter collections included, which greatly expand the difference among the \n", + "collections overall. So the collections are distinct from Twitter collections." ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 15, "metadata": { "collapsed": false }, @@ -420,53 +379,38 @@ "name": "stdout", "output_type": "stream", "text": [ - "['UVIC_trans', 'UVIC_VI_Ne', 'UVIC_Digit', 'UVIC_Resea', 'UVIC_50tha', 'ALBERTA_pr', 'TORONTO_ca', 'UVIC_Facul', 'UVIC_Websi', 'UVIC_anarc', 'UVIC_VI_Go', 'UVIC_envir', 'TORONTO_ts', 'UVIC_bc_te']\n", - "[ 0.15945221 0.10555093 0.08670603 0.07065979 0.0551636 0.05075579\n", - " 0.0448731 0.03586369 0.02858286 0.02551104 0.02245151 0.01293633\n", - " 0.0088546 ]\n" + "['UVIC_Calendar', 'UVIC_50thannive', 'UVIC_Faculty', 'UVIC_VI_Gov', 'UVIC_Websites', 'WAHR_ymmfire-ur', 'WAHR_panamapape', 'UVIC_trans_web-', 'UVIC_bc_teacher', 'UVIC_environmen', 'UVIC_Research_C', 'WAHR_exln42-all', 'UVIC_VI_News', 'UVIC_DigitalSch', 'UVIC_anarchist_']\n", + "[ 0.61910505 0.14563931 0.09950897 0.09221756 0.08459989 0.06969057\n", + " 0.05774344 0.049607 0.04744617 0.03502615 0.03461494 0.02806694\n", + " 0.0161937 0.00545049]\n" ] }, { "data": { - "image/png": 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xG1UDKF/P5FQJDRHxFQVnPqauIpHmw92B+S1BXa/V2+MF66KxgdKS\nBPi6ASIirUnlLF8REVeUORNxQYOqvaOyEn/l/ytVHyPm7QyNP2Vi6poIICIti4IzEfGqqkFWYGCg\nQ2FYDdoXEVFwJiItRF2ZrsoxVJ4qFhsU9NOf04Zk3ZrbeLbKgNqfMowiLYWCMxHxO8668ZzN5FRg\n4Ki2WmlV6b6J+DcFZyLiMXUFAcHBwV7PGFXNcDnjb4FLU2X6/KlMiYjUTsGZSAumNRmbD1ffg/Ly\ncrcnBNQVeIpI86BSGi1Yfn4+CQkJJCYm0rVrVy688EL710eOHOGGG27gkksu4eKLL+aBBx6wf0Lf\nvHkz7du3JzExkT59+vDQQw85PO9bb71F3759iYmJoW/fvqxZs8b+2N13382FF17I2bNnATh+/DiR\nkZHk5ubar92pUyeioqJISEjg6quvBiA3N5e0tDR69+5Nr169mD17dq2vbfPmzfz73/9uytslLVxw\ncLBbm4iIryk4a8E6duxITk4O2dnZTJo0iSlTpti/vummm7jxxhv54osv+OKLLzh16hTTpk2zn3vV\nVVeRnZ1NdnY2a9eutQdCu3bt4uGHH+add94hNzeXNWvW8OCDD/Lpp58CthpOQUFBvPTSS/bnMsYQ\nExNjv/bo0aNZsGABOTk5fPDBB5SUlDB69GimTZvGvn372LVrF9u2bWPx4sUuX9umTZvYtm2bh+6c\n+EpgYCCBgYEYY2pslY/5S9FTERFPUXDWSlTtFlm/fj1t27blzjvvBGzB06JFi3jppZcoKSlxOC80\nNJT4+Hi+/vprAJ588kmmTZtG9+7dAejZsyePPvoo8+fPt58zefJkFi1aREVFRZ1tAXjttddISUkh\nLS3Nfs1nnnmGuXPnOj0/Ly+P5557jqeeeorExES2bt3KqlWriI2NJSEhgSFDhtTjzoivlZWV1dgs\ny6qx+QNPZ99KS0trbL567fV9rcXFxW5tIlI3DVBohfbu3Uu/fv0c9kVERNCjRw8OHDgA/BRAnThx\nggMHDnDVVVcBtu7H6t2cSUlJDlmu7t27k5KSwt///neuu+66OtuTm5tboz1RUVEUFhZy+vRpzjvv\nPIfHevTowcSJE4mIiGDKlCkAxMXF8cEHH9C1a1d+/PFHd26D3ygqKnLruOay1JenBviXlZVpTJWI\ntArKnIld1U/oH330EQkJCVx00UVcc801dOnSpV7P9cgjjzB//nwqKioa/Mm/PuelpKRw1113sWTJ\nEo/VsRLP0HJG9ees27e5BO8iUjcFZ61Qnz59yMrKctj3448/cuTIEaKjowHbmLOcnBw+/fRTlixZ\nwu7duwGIiYmpcW5WVhYxMTEO+6Kjo4mPj2fFihV1vvk6a8/BgweJiIiokTVzZfHixcyZM4cjR47Q\nr18/Tpw44dZ50jjOuuHKy8trbCIi4j4FZz5WVFTk1taU0tLSKC4uZtmyZYBtqv6DDz7I+PHjCQ0N\ndTi2ckxZ5fiv3/3ud8ydO5e8vDwAvvzyS/70pz/x4IMP1rjOtGnTWLBgQZ3tuf3229m6dSsbNmwA\nbGNX7r//fqZOnerynIiICIfuy4MHD5KcnMzMmTPp0qULR44cqfO6IiIi/kgDOFqpN998k0mTJjFr\n1iwsy2LkyJHMmTPH6bG/+c1vWLBgAYcPH6Zv377MmzeP66+/nrKyMtq0acOCBQuIjY0FHLuo+vTp\nQ2JiIjt37nR4vuqZtNDQUNasWcO9995Leno6FRUV3HnnnaSnp7ts//XXX89NN93E22+/zdNPP83C\nhQvZv38/AD//+c+Ji4tr0H1xR2uoHdbQcWOuanI11SLmzfmeVuXq/jb2PtV2f5rb8lAirZnxl1lQ\nTcEYYzW311PvweAFBZCZCXv2QFERhIVBbCwkJ0O7dh5sqVRq6uDMkxMCGtrWpg7OqgfkgYGB/OlP\nf2L69OkUFxe7Pb6wpYyramxw5o9BqrszMdu2bevhlog0H8YYLMuqMfZHmbPm5NAhWL4cqv5hLyiA\nLVtsAdvYsRAZ6bv2id/xxzdxERGpncacNRcFBZCR4RiYVXXmjO3xggLvtsvDXnnlFfvKApXbfffd\n5+tmiYiIeIwyZ81FZqYtAKvNmTOQlQXnirm2BHfffTd33323r5shIiLiNQrOmos9e9w7bvfuFhWc\nif+rOk7K1dgxy7KcllQpLS0lMDBQtenOqT7GrDl1S2ssmfe0hklJrZ2Cs+bC3XIaTVx2QzyvpQxy\nr03l2piVqr9p1Fb5X28wItLaKDhrLsLC3BtP1gre6Js7feqVpqKfJZGWScFZcxEba5uVWRcP1veS\n5sfT5Q2Cg4MdAgStBiAi0ngKznzM7S6t5OS6JwWEhEBSUtM0TEQ8onKJq7o0tFBvS6dsobQGCs6a\ni3btbHXMMjKcB2ghIbbHVYjW4/zpj35db1SVA/Tru7h4Q19jbQGFP903X6t+n1wFa9W/v7qHIq2D\ngrPmJDIS0tNt5TJ27/5phYC4OFvGTIGZiIhIs6fgrLlp185WKkPlMkQAzy5/1VxVz8S5GheoTKeI\nf1JwJq2CxqmIOzzxc1L9OZ11YbqqAycirZOCMxGx0+LVzYursWruLiQvIv5JwZmINEpjso3KVIrU\nn35vWj4FZyI+VFtJhardYfpj3HiV97O2e161e1GlLETEVxSciXhZ1UDL1RinsrIyh/UmXa09Wduy\nR9LyuQogvVkMWF3hIk1Pf9lFWrDK4E2ZN++qbdWEquPBNAlARJxRcCYijdbcy1lUDZgq/+8s+9QU\nXZ1VA7LK5ysvL/daN2rV19ocl9vSBw1pDRSciTRjeqNqGdwNzEpLS/U9F2kFAnzdABERERH5iTJn\nItKsudtV6m6B2ZageiZO2TaR5kXBmbQKenMSd9VWSqMhP0fuLpHUHIPH4uJitwreauKDSP0oOBMR\nO38qd6Alt+rWkGWk6poEoPpuIr6n4ExExIuqBke1ldxQkCTSeik4E/Eidwt2StOrLcvUHLsURaTl\n0mxNET8UFhbm1ibNz+HDh0lOTnbYN3v2bP73f/+Xu+66C8uysCyLsrIyjh07xn//939TXFzMsGHD\nyMzMpKioiMLCQiZOnEh0dDTJyckMHTqUzMxMl9fs2bMnSUlJ9O/fnyuvvNK+/8SJE1x//fX07duX\nUaNGUVBQAMDu3bt577337MfNnDmThQsXOn1uY0ydmz91l4s0BwrORESaWHBwsMstICAAY0yNbktj\nDBs3bqSkpMS+76233uLaa6+lTZs2DsdOmDCBTp06ceDAATIzM3n55Zf54YcfXLYnICCADz/8kB07\ndvDRRx/Z9z/55JOkpqaya9cuBg8ezIIFCwDYuXMn7777blPcChFpAAVnItJoVbN5QUFBLrfS0lL7\n5k9qC6aqbp4UFhbGlVde6RAUrVq1iltuucXhuEOHDrFjxw5mz55t39ejRw9GjBjh8rkty6KiogKw\njWWr3NauXcudd95JYGAgd955J2vXriUgIIDHH3+cFStWkJiYyMqVKwHIzc0lNTWV6Ohonn76aftz\n33rrraSkpJCcnMzLL7/cJPdCpLXTmDNpFVrCzD9/eg21taXqwPaq2SFnswSdPY8vvwe+vMcBAQHc\nfPPNZGRkcOONN/LNN99w4MABBg8e7HDcZ599Rnx8fL3KUxhjGDlyJIGBgfzqV7/iV7/6FQDff/89\n559/PgAXXHAB3333HUFBQcyaNYtPPvmEv/zlL4CtW/Pzzz9n06ZNFBQU0KtXL9LT0wF4/vnnad++\nPSUlJVx55ZXccMMNdOjQoSluifiR5r5EW3OjzJmIiBe5CqqMMVxzzTVs376d06dPs3r1akaPHt0k\nNcK2bt3Kxx9/zJo1a3juuefYunVrvdoGcO211xIUFESnTp04//zzOXbsGADPPPMMl19+OYMHD+br\nr7/mwIEDjW6vSGun4EykGSkrK6tzc/cTrqfaVzmgvXJQe+VWdX9r1qlTJ06cOAH89P384Ycf6NCh\nA6GhoQwbNow1a9Y47dIEuPTSS9m1a1e97mPXrl0B+NnPfsbo0aPtkwe6dOliD7K+/fZbfvazn7l8\njpCQEPv/AwICKCsr46OPPmLz5s3861//4uOPPyYuLo4zZ8643S4RcU7BmYiIF1SOtQsNDeWCCy5g\nw4YNAOTn57N+/XoGDhwIwE033cTTTz/N999/T//+/Ws8T2RkJElJSUyfPt2+Ly8vz+UA/qKiIk6f\nPg1AYWEh69atIyYmhvLycq699lpeffVVysvLefXVV7nuuusoLS2lbdu2nDx5ss5u3pKSEjp16kT7\n9u3Jy8tjx44dhISE0LZtW4dNROpHY85ExC/58/g/u4ICyMyEPXugqAjCwiA2FpKToV07l6ctWbKE\nyZMnM3XqVIwxTJs2jZ49ewKQlpbGPffcw913313r+VOmTCE6OpqwsDA6d+7M/PnznR577NgxfvGL\nX2CMoaysjNtvv51rr72W0tJSHnroIW677TaWLl1K9+7dee211wAYPHgw8+fP5/LLL2fatGk1ujsr\nvx4+fDjPPfccMTEx9OrViyuuuKIeN09EXDEtqYvBGGO1pNcjTcdfBtO7W4TWWbahtLSUsrIyt873\n9KBcV/fT3fYZY3jiiSd49NFHazzWbCYEHDoEy5eDs3NCQmDsWIiMrPW53b1f1TXF99dffiekedCE\nAM8wxmBZVo3BnsqciXiRunhaiIICyMhwHpgBnDljezw9vdYMmoiIMwrORMTrKjPc5eXlzXMNycxM\nWwBWmzNnICsL0tIafTl3shH5+fmkpaXZuxwty8IYw/r16x1KW2gBdBH/p+BMRKS+9uxx77jdu5sk\nOHNHx44dycnJ8cq1RMSzFJyJeEhjxpf5ircq9zdF7S6fcrdciQ/LmohI86XgTFqFljCoOTg4uMED\nyJuaq/tZtaustsk5lV1mgYGBfvW9cbstYWG2cWfuHCfSAmigv3epzpmISH3Fxrp3XFycZ9shIi2S\nMmcizYi/f3qt2kXrb4ubN6nk5LonBYSEQFJSrU8TFFTzT3BDM4kt+n63Uip30nopOBMRqa927Wx1\nzDIyagRopYMGQWAgXHYZtG3rstyGr99Q65qN6ev2ibRmCs5ERBoiMtJWxywryzYrs3KFgO7doVs3\nW+ZMRKQBFJyJSKvSpLNo27WzlcqoWi5D3Ysi0kiaECAiIiLiR5Q5ExGPcGfMksY1eX/Qt7PncbZu\norOyLf4+IUWkpVDmTERERMSPKHMm4iH+VPnfXcpkiYj4Xp3BmTEmFLgOuBLoBhQDnwL/sCwr17PN\nExEREWldag3OjDEzsQVmm4CPge+AUOASYO65wO13lmXt9nA7RcTLVABTRMQ36sqc7bAsa7qLxxYa\nY7oA3RtyYWNMB+B1oAfwJXCLZVk1FqszxnwJFAAVwFnLsvo35HoiIi2ZguSWR9/T1qvW4MyyrH9U\n33cuWxZsWdaPlmV9hy2b1hCPAOssy3rCGDMVePTcvuoqgCGWZZ1o4HVERLxGb6gi0lj1mq1pjJkA\nvAW8YYz5UyOvPRp49dz/XwVucHVZNKtUREREWom6xpyNsizr7Sq7fm5Z1vBzj+3Clu1qqC6WZR0D\nsCzr23NdpM5YwIfGmHLgBcuyXmzENUWklWuOs2hFpHWpa8xZrDHmV8B0y7J2AruNMUuwBUx1ztQ0\nxnwInF9117lzf+/kcMvF0wyyLOsbY8zPsAVpn1mWtcXVNWfMmGH//5AhQxgyZEhdzRQREak3TZqR\n+tq0aRObNm2q8zhjWa5ionMHGHMBMAtbYPUHIAJo29gZmsaYz7CNJTt27hobLcu6tI5zpgOnLMta\n6OJxq67XIyLu8fQbz8yZM5k+3dV8IxH/p+BMGssYg2VZpvp+d4rQFgKTgYuBF4As4IkmaNPbwN3A\nPOAuYE31A4wxYUCAZVmnjTHhwNXAzCa4tohIs+JsiSVntMSSSPNX60B7Y8xs4A1gLZBqWdYoYCfw\nrjHmzkZeex4wzBjzOZAGzD13za7GmLXnjjkf2GKMyQG2A+9YlvVBI68rIiKtTF5eHrGxsQ77Zs6c\nyaxZs7jtttsc9h8/fpwuXbpw9uxZUlNTyc7OBqCwsJCJEycSHR1NcnIy11xzDVlZWR5v+/Tp09mw\nYYPHryP+o67M2XWWZcUbYwzwCfCUZVlvG2PeBf5fYy5sWVY+8HMn+7/BVvgWy7IOAfGNuY6IiAjY\nupCc7Vu3bh0lJSWEhoYCsGrVKkaNGkWbNm0cjp0wYQJRUVEcOHAAgP379/PZZ595vN0zZzrvMKqo\nqCAgQMUMWqK6vqufGmNeAJYCmyt3WpZVZlnWnz3aMpEmUFRU5NYmNQUHB7u1iW3skTub+J+wsDAG\nDx7MO++8Y9+XkZFRI5t28OBBduzYwezZs+37evTowfDhw10+9/Lly0lJSSExMZFJkyZROSY6IiKC\n3//+98THxzNw4EC+//57fvzxR3r27Gk/t6ioiO7du1NeXs748eNZvXo1AJGRkTzyyCMkJSWxatWq\nprgF4odqDc4sy7oDeBqYY1nWA95pkoiIiHcYYxg3bhzLly8H4OjRo+zfv5/U1FSH43Jzc4mPj3ea\nfXNm3759rFy5ks2bN5OdnU1AQAD/93//B9i6RwcOHMjOnTu58sorefHFF/mv//ovEhIS2LzZlgdZ\nu3Ytw4cPJzAwsMZzd+7cmaysLG655ZbGvHTxY3XVOesO7Lcsq+Rc1+bdQCKwF3jRsqwyzzdRpGUq\nLi526zjV5RJpPFdBlTGGkSNHkp6ezunTp1m5ciVjxoxxOwhzZePGjezcuZOBAwcCUFJSwgUXXADY\nstIjR44EoF+/fqxbtw6AW265hddff53BgweTkZHB//t/zkcP3XrrrY1qm/i/usacvQtUrmU5F/gf\nbCsEDAWSgV96rmkiIiJNo1OnTuTn5zvsy8/PJyoqitDQUIYPH87q1avJyMhg0aJFNc6PiYlh165d\nWJblVuBmWRZ33HEHs2bNqtH9X/XrwMBAyspseY5Ro0bx2GOPceLECbKzsxk6dKjT5w4PD6/z+tK8\n1TXmLMCyrMoBOT/Htjj5Msuyfgn082zTREREmkZ4eDjdunVj48aNgC0we//990lJSQFg7NixLFy4\nkO+++44BAwbUOD8qKoqkpCSH2nx5eXm89957Tq+XmprK6tWr+f777wE4ceIER44cAcBVPc7w8HCS\nkpK4//77ue666xqdvZPmq67M2RFjzFDLsjYAXwIXAXnGmE4eb5mIiIgrBQWQmQl79kBREYSFQWws\nJCdDu3ZOT1m6dCnp6elMmTIFYwwzZswgMjISgGHDhnHXXXcxYcIEh3OqBkhLlixhypQpREdHExYW\nRnz3Q/YAACAASURBVOfOnZk/f77TiTF9+/Zlzpw5XHfddVRUVBAcHMxf//pXLrroolqDrltvvZVb\nbrnFPvasehsUsLUOta4QYIy5CNtMzUCgAEjBVuesPfCgZVnrvdFId2mFAKnOnwt3tvYxZ029QoAv\nq7V749r+/LPsdYcOwfLl4Oy+h4TA2LFwLugS8WcNWiHAsqwjQKox5lLgEuAV4Csg07KsCk80VERE\namoVQZc7CgogI8N5YAZw5ozt8fR0lxk0EX/nzvJNWJb1GeD5SnsiIiK1ycy0BWC1OXMGsrIgLc3j\nzcnPzyctLc3e3Vg5YWD9+vV06NDB49eXlsmt4MwZY8wLlmXd05SNERERqdWePe4dt3u3V4Kzjh07\nkpOT4/HrSOvS4OAMeL7JWiHiIeoKEk/x5Ri3Vs3dFT208oc0Yw1elMuyrE+asiEiIiJ1cvcDlz6Y\nSTNWa3BmjAkyxvzGGPNPY8zuc9t7xpiJxpg2tZ0rIrVr27atW5uIP8rLyyM2NtZh38yZM5k1a1aN\ndSmPHz9Oly5dOHv2LKmpqWRnZwO2ZYwmTpxIdHQ0ycnJDB06lMzMTJfXDAwMJHHxYhKef57E55/n\ncEGB6wbGxdXr9WzevJnrr7++XueIeEpd3Zp/B04CM7DN0gS4ELgLWAZoDQkRkVbKWc0tYwzr1q2j\npKSE0NBQAFatWsWoUaNo08bxM/2ECROIioriwIEDgC3g27t3r8vrhYeHk52VBYsX1z4pICQEkpKa\n5PWI+EJd3Zr9LMuaZFnWdsuyvjq3bbcsaxKQ4I0GiohI8xEWFsbgwYN555137PsyMjJqZNMOHjzI\njh07mD17tn1fjx49GDFihMvntizLVh5j7FhbAAbknTzJVS+/TNILL5D0wgtsP3bM9ni7dsybN4+4\nuDgSEhKYNm0agEPm7vjx4/YitC1VUVGRW5v4l7oyZ/nGmJuBNyrrmhljAoCbgROebpyIiDQvxhjG\njRvHsmXLuPnmmzl69Cj79+8nNTXV4bjc3Fzi4+Prla0qLi4mMTERy7KIuugi3rj/fs7/5BPW/fKX\nBP/Xf3GgUyfGPfUUmZGRvPfee7zzzjtkZmYSEhLCyZMnXbZXxN/UFZyNBeYBi40xlcFYe2DjucdE\nRPyCZkV6l6ugxhjDyJEjSU9P5/Tp06xcuZIxY8Y0SRAUFhZmz3pVKk1O5t5772Xnzp0EBgayf/9+\nANavX8/48eMJOZdha9++faOvL+Itda0Q8CXnxpVVrqdpWdZxzzdLRMR/udsNFBTUmGpF/q1Tp07k\n5+c77MvPzycqKorQ0FCGDx/O6tWrycjIYNGiRTXOj4mJYdeuXfairQ21aNEiLrjgAnbv3k15eXmd\nk2iCgoKoqLAtcFNSUtLg64p4ktulNCzLOl41MDPGDPNMk0Raj9LSUrc2aRoaf9N0wsPD6datGxs3\nbgRsgdn7779PSkoKAGPHjmXhwoV89913DBgwoMb5UVFRJCUlOayvmpeXx7vvvuvyms7WTi4oKKBr\n166AbWHz8vJywLaQ+csvv2xfw/bECVvnT2RkJFlZWQCsXLmy3q9bxBsaXOcM+FuTtUJERHyroADW\nrYNFi2DOHNu/69bZ9ruwdOlSHn/8cRISEvj5z3/OjBkz7APshw0bxjfffMPYsY4jYKpmyZYsWcK3\n335LdHQ0cXFxjB8/nvPPP9/l9Zxl2NLT03nllVdISEjgiy++IDw8HIBrrrmGUaNGkZSURGJiIk8+\n+SQAv/vd73j22Wfp169fjcyfiL8wzj6J2B805m1XDwFDLcsK90irGsgYY9X2ekQayt1sSn1XJGjN\nVeZnzpzpkDXxhqb6Pnrq58FnDh2C5cudLyYeEmKb/djCZzW2VC3uZ7WFMcZgWVaNTx11DYi4ErgD\nOF39+YD+TdQ2ERHxlYICyMhwHpiBrZ5YRgakp9vKWIiIx9UVnG0HiizL2lz9AWPM555pkoiIeE1m\nZu0FXcH2eFaWVxYSz8/PJy0tzd6FWTlhYP369XTo0MHj1xfxB3XN1nRZDdCyrKuavjkiIuJVe/a4\nd9zu3V4Jzjp27EhOTo7HryPiz2oNzowbg7jcOUZERPyUu7NTNYu1WdJYsuaprtmaG40x9xljulfd\naYwJNsYMNca8im2dTRGRFq3FljZx981bb/IiXlNXcDYcKAeWG2OOGmP2GmMOAvuBccBTlmW94uE2\niojI/2/v/qOjLO+8j3++IAmEtimCsKUqhyxd+5QGAyaUsrAmYBCoYlusBlp/4GG7Sounuj6li7YQ\nwHZrW6217ValD48eLVHB+hSVBYJE1x+UIL/xR7HYqAVECdLKz4Df54+ZjBOSSQaTmbmSvF/n5GTu\na677nu/Q6fjJdd33dadKfn5y/YYMSW0dAGJaOufsiKRfK3L7pm6S+kg67O5N36QMADqB5lb+b3fL\nnhQVtXxRQHa2VFiYvpqATi7pe4u4e52k3SmsBeh02t1/yNs5zr9pQm5uZB2zioqmA1r9OmcsowGk\nTce98RsAIDkDB0bWMVu/PnJV5qFDkXPMhgyJjJgRzIC0IpwBSWDEBR1ebm5kqYw0LJcBoHmtubcm\nAAAA2liz4czMzjKzCjP7HzObHb0ooP65x1JfHgAAQOfS0sjZ/5FUJWmmpE9JetrMekefG5DCugAA\nADqlls45O8PdfxN9PNPMviHpGTObJIm7AgBAhiW7KC5XBgPtR0vhrJuZdY+udyZ3f8DM9khaIaln\nyqsD0KmFFDyysrKSqufYsWMEIQCt0tK05kJJX4hvcPdKSV+TtC1VRQEAAHRWLd0h4I4E7Rsllaak\nIgAAgE6MpTQAAAACwiK0AABJYZ3jB3RmLY6cmVkXM7ssHcUAAAB0di2OnLn7B2b2XUkPp6EeAAje\n8ePHm33+xIkTkqQePXqkoxwAHUyy05qVZnaTpIckHaxvdPfalFQFAEAGtdUU76FDh5I6DvfvRbxk\nw9nl0d/fimtzSXltWw4A4FTUj9IB6DiSCmfuPjDVhQAATl3Xrl0zXQKANpZUOIve8Pw6Sf8SbaqS\ndLe716WoLgBocsqoqWmips4BS8U0UX09jFYBSKVkpzX/S1I3Sb+Obl8RbZueiqIAAAA6q2TDWZG7\nnxu3/ZSZbU5FQQAAAJ1ZsncIOGFm/1i/YWZ5khjXBwAAaGPJjpz9b0lrzGynJJM0QNI1KasKAJB2\nrPwPhCHZkbNnJX1G0vWSZko6R9JzqSoKANA51dTUKD8/v0FbeXm55s2bp6lTpzZo37dvn/r27au6\nujqVlJRow4YNkqSDBw/q2muv1aBBg1RUVKQxY8aourq6ydcbM2aMVq1a1aDtzjvv1PXXX6+amhoN\nGzas2XrXrVunkpISnXPOOSosLNTFF1+s7du3n+rbBhpIduTsBXcfJmlLfYOZbZDU/KcWADogVv5P\nLTNrsq2yslJHjhxR9+7dJUlLlizRpEmT1K1btwZ9p0+frry8PL322muSIoHvpZdeavK1pk6dqsWL\nF6u0tDTWVlFRoR/96EcJa6m3d+9eXX755aqoqNAXvvAFSdLzzz+vP//5zxo8ePApvGOgoWbDmZn9\ng6RPS+phZkMVmdKUpE9IYjljAEBa5OTk6Pzzz9eyZcv0ta99TVIkRH3/+99v0G/nzp1at26dfve7\n38XaBgwYoAEDBjR53MmTJ+uWW27R8ePHddppp6mmpka7d+9WcXGxampqZGYJp3vvueceXX311bFg\nJkkjR46MPa6pqdE111yjffv26YwzztCiRYt05plnfuR/A3QeLU1rXijpp5LOlHS7pJ9Ff26QNDu1\npQEAWpKVlZXUT3tnZpoyZYoWL14sSdq1a5d27NihkpKSBv22b9+ugoKCZke84vXq1UvDhw/X8uXL\nJUUC32WXXZbUvtu3b2922nPmzJmaNm2aNm3apKlTp2rmzJlJHRdoNpy5+33uXiLpancvifu5xN0f\nTVONAIBOIlGoMjNNnDhRzz//vN5//3098sgjmjx5ctIhrDllZWWqqKiQFAlnU6ZM+UjHGTFihD73\nuc/phhtukCS98MILsWNdccUVevbZZ1tdKzqHZC8IOM/MPlm/YWa9zGxBimoCgIRycnKS+kH71Lt3\nb9XW1jZoq62tVZ8+fdS9e3eNHz9ejz76aMIQNXjwYG3evFnunvRrXnLJJVq9erU2btyow4cPa+jQ\noUntN3jwYL344oux7bVr12r+/Pk6cOCApMZBsy2CJDqHZMPZBHd/r37D3fdLmpiakgAAnVXPnj3V\nv39/rVmzRlIkmK1YsUKjRo2SFBnluv3227V3716NGDGi0f55eXkqLCzUnDlzYm01NTV68sknm33N\n4uJiXXPNNY0CX3Mh71vf+pbuu+8+rV27NtYWf3uxkSNHxqZhH3jgAY0ePbq5tw7EJHu1Zlczy3b3\no5JkZj0kZaeuLABAu3fggFRdLW3dKh06JOXkSPn5UlGRlJubcLf7779fM2bM0I033igz09y5czVw\n4EBJUmlpqa666ipNn97w7oHxo1ILFy7UjTfeqEGDBiknJ0d9+vTRT37yk2ZLnTJlir761a/qoYce\nSnjck/Xr108PPfSQvvvd72rXrl3q27ev+vTpox/84AeSpF/84heaNm2afvrTn8YuCACSYckM/ZrZ\nLEkXS6r/ZE2T9Ad3vy2FtZ0yM/NTGcoGkDnl5eUNRjfQwbz+urR4sXTsWOPnsrOlsjIpGriAzsrM\n5O6N/gJIalrT3X8s6VZJ/yv6Mz+0YAYACMSBA1JFRdPBTJKOHo08Hz03C0BDyU5ryt2XS1qewloA\nAB1BdXUkgDXn6FFp/Xpp7Ni0lFRbW6uxY8fGpindXWam1atXq1evXs3uu3LlSs2aNavBvnl5eVq6\ndGnK60bnlFQ4M7MRku5SZNQsS1JXSQfd/RMprA0A0B5t3Zpcvy1b0hbOTj/9dG3cuPEj7Ttu3DiN\nGzeujSsCEkv2as1fSpoiaYekHpKmS/pVqooCALRjcVcstkk/oJNJNpzJ3V+T1NXdT7j7IknjU1cW\nAKDdSnadOdajA5qUbDg7ZGZZkjaZ2W1mdsMp7AsA6Ezy85PrN2RIausA2qlkA9YV0b7flnRQ0lmS\nJqeqKABAO1ZUFFkuoznZ2VJhYXrqAdqZZi8IMLOz3f0Nd6+JNh2RVJ76sgAgHIcPH06qX48ePVJc\nSTuRmxtZx6yioumrNuvXOWtmIdrm8L8HOrqWRs4eq39gZlwzDABIzsCB0owZ0ujRkRDWrVvk9+jR\nkXYWoAUSamkpjfhVa/NSWQgAoIPJzY0slZGm5TKAjqKlcOYJHgNARhxLtOr8SbKyslJcCQCkRkvh\n7Fwz+5siI2g9oo8V3XYWoQUAxON8MKD1mg1n7t41XYUAAACAtcoAAACCQjgDAAAISFI3PgcQLk6Q\nB4COhZEzAACAgDByBgAt4MrCsPC/Bzo6Rs4AAAACQjgDAAAICNOaANoVLmwA0NERzgAAbYbzwYDW\nY1oTAAAgIIQzAOgkampqlJ+f36CtvLxc8+bN09SpUxu079u3T3379lVdXZ1KSkq0YcMGSdLBgwd1\n7bXXatCgQSoqKtKYMWNUXV2dtvcAdAYZC2dmdqmZbTOzE2Y2rJl+483sFTP7k5nNSmeNANDRmFmT\nbZWVlTpy5EisbcmSJZo0aZK6devWoO/06dPVu3dvvfbaa6qurtaiRYv07rvvprzueCdOnEjr6wHp\nlsmRs62SviLp6UQdzKyLpF9KulDSYElTzOyz6SkPaB+ysrKS+gESycnJ0fnnn69ly5bF2ioqKhqN\npu3cuVPr1q3TggULYm0DBgzQhAkTEh77K1/5ioqKipSfn6+FCxfG2j/+8Y/rlltuUUFBgUaOHKl3\n3nlHkvT4449rxIgROu+88zRu3LhYe3l5ua688kqNGjVKV155pT744APddNNNys/PV0FBgX71q1+1\nyb8FEIKMhTN3f9Xdd0hq/Gfch4ZL2uHuNe5eJ6lC0iVpKRAAOgkz05QpU7R48WJJ0q5du7Rjxw6V\nlJQ06Ld9+3YVFBQ0OfqWyKJFi1RdXa3q6mrdeeed2r9/v6TI9OjIkSO1adMmjR49Wvfee68kafTo\n0Vq7dq1efPFFXX755brttttix3r55Zf11FNP6cEHH9Q999yjN954Q1u2bNGmTZv09a9/vbX/DEAw\nQr9a89OS3ozbfkuRwAYAOEWJQpWZaeLEiZoxY4bef/99PfLII5o8efIphbBEfv7zn+uxxx6TJL31\n1lvasWOHhg8fruzsbE2cOFGSdN5556myslKS9Oabb+qyyy7T7t27VVdXp4EDB8aONWnSpNgocGVl\npa677rpYjZ/85CdbXSsQipSGMzNbJalffJMkl3Szuy9req/WmTt3buxxcXGxiouLU/EyANDu9O7d\nW7W1tQ3aamtrlZeXp+7du2v8+PF69NFHVVFRoTvuuKPR/oMHD9bmzZvl7kkFt6efflpPPfWU/vjH\nPyo7O1slJSWx89riz2Xr2rWrjh8/LkmaOXOmbrrpJn3pS1/S008/rfLy8li/nj17fqT3DYSiqqpK\nVVVVLfZLaThz99JWHuKvks6O2z4z2pZQfDgDAHyoZ8+e6t+/v9asWaOSkhLV1tZqxYoV+s53viNJ\nKisr0/e+9z39/e9/14gRIxrtn5eXp8LCQs2ZM0fz5s2TFLkCdPv27bFRsHgHDhxQr169lJ2drVde\neUVr166NPefuTdb4t7/9Tf3795ck3XfffQnfS2lpqe6++24VFxera9eu2r9/v3r16pX8PwaQAScP\nGsX/8REvlKU0Ev0JVi1pkJkNMLMsSWWS/pC+sgAgs44dO9b0z9//rmOvvqpjzzyjY6tXS3fcIVVW\nSgcONHu8+++/X/Pnz9fQoUN1wQUXaO7cubGpw9LSUu3evVtlZWUN9okfJVu4cKH27NmjQYMGaciQ\nIZo2bZr69eunpowfP151dXUaPHiwZs+erS9+8YtNHjPenDlzdOmll6qoqEhnnHFGwvcxffp0nXXW\nWRoyZIiGDh0aO18O6Ags0V8vKX9hsy9LuktSH0nvSdrk7hPM7FOS7nX3i6L9xku6U5Eg+Vt3/89m\njumZej8ATk15ebnmzJmT6TKCd+zYscaN770nbdsmxS0pkfXcc5EH2dlSWZkUd64WgDCZmdy90V8q\nGbsgwN0fk/RYE+27JV0Ut/3fks5JY2kAEK6jRxsFs0bPV1RIM2ZIubnprQ1Amwj9ak0AQLxduxIH\ns3pHj0rr10tjx6alpNraWo0dOzY2VVl/wcDq1as5Dwz4CAhnANCevP12cv22bElbODv99NO1cePG\ntLwW0BmEckEAACAZdXXJ9Tt0KLV1AEgZwhkAtCcn3esyoZyc1NYBIGUIZwDQniRYtqKRIUNSWweA\nlCGcAUB70r+/1LVr832ys6XCwvTUA6DNEc4AoD3JzpY+//nEAa1+nTOW0QDaLa7WBICA1d/ou4G+\nfaXzzossl7FlS+Tk/9zcyFRmYSHBDGjnCGcA0B7l5kaWykjTchkA0odwBrTC4cOHk+rXo0ePFFcC\nAOgoOOcMAAAgIIycAQA6nSZvKN+EJs/5A1KMkTMAAICAEM4AAAACQjgDAGRETU2N8vPzG7SVl5dr\n3rx5mjp1aoP2ffv2qW/fvqqrq1NJSYk2bNggSTp48KCuvfZaDRo0SEVFRRozZoyqq6ubfL0xY8Zo\n1apVDdruuusuXX/99aqpqdGwYcMS1vr000+rS5cueuKJJ2JtF198sZ555plTes9AMghnAICMMbMm\n2yorK3XkyJFY25IlSzRp0iR1O+neotOnT1fv3r312muvqbq6WosWLdK7777b5GtNnTpVixcvbtD2\nyCOPqKysLGEt8c4880zdeuutSb0voDUIZwCAoOTk5Oj888/XsmXLYm0VFRWNRtN27typdevWacGC\nBbG2AQMGaMKECU0ed/LkyXryySd1/PhxSZGRuz179mjkyJFJ1XXuuecqNzdXq1evbvTchg0bVFxc\nrKKiIk2YMEFvv/12UscEmkI4AwAExcw0ZcqU2CjXrl27tGPHDpWUlDTot337dhUUFLQ44lWvV69e\nGj58uJYvXy4pMmo2efLkU6rr5ptv1vz58xu0Hz9+XDNnztTSpUtVXV2tadOmafbs2UkfFzgZS2kA\nADIiUagyM02cOFEzZszQ+++/HwtRyYaw5pSVlamiokIXXnihHn74Yd1zzz2ntP+oUaNkZnruuedi\nba+++qq2bdum0tJSubs++OAD9e/fv9W1ovMinAGtwMr/wEfXu3dv1dbWNmirra1VXl6eunfvrvHj\nx+vRRx9VRUWF7rjjjkb7Dx48WJs3b5a7Jx3cLrnkEt14443atGmTDh8+rIKCglOue/bs2VqwYEHs\n/Dd31+c///kGgQ1oDaY1AQAZ0bNnT/Xv319r1qyRFAlmK1as0KhRoyRFRrluv/127d27VyNGjGi0\nf15engoLCzVnzpxYW01NjZ588slmX7O4uFjf/OY3dfnllzd4zt2Tqru0tFT79+/Xli1bJEnnnHOO\n3nnnHa1du1ZSZJrzpZdeSupYQFMIZwCAtnHggFRZKd1xh3TrrZHflZWR9gTuv/9+zZ8/X0OHDtUF\nF1yguXPnauDAgZIiIWj37t2xqynrxY+SLVy4UHv27NGgQYM0ZMgQTZs2Tf369Wu2zClTpmjr1q36\nxje+oaysrNhPly5dGmw3d3eAm2++WW+++aYkqVu3blqyZIlmzZqlgoICDR06VC+88EKL/1xAIpbs\nXwrtgZl5R3o/QEdWXl7eYMQD7dzrr0uLF0tN3RYpO1sqK5OioQtAhJnJ3RvNyTNyBgBonQMHpIqK\npoOZJB09Gnm+mRE0AB/iggAAQOtUV0cCWHOOHpXWr5fGjk15ObW1tRo7dmxs+rP+goHVq1erV69e\nze67cuVKzZo1q8G+eXl5Wrp0acrrBuoRzgAArbN1a3L9tmxJSzg7/fTTtXHjxo+077hx4zRu3Lg2\nrgg4NUxrAgBa59Chtu0HdHKEMwBA6+TktG0/oJMjnAEAWic/P7l+Q4aktg6ggyCcAQBap6goslxG\nc7KzpcLC9NQDtHOEMwBA6+TmRtYxSxTQ6tc5y81Nb11AO8XVmgCA1hs4UJoxI7JcxpYtkZP/c3Ii\nU5mFhQQz4BQQzgAAbSM3N7JURhqWywA6MsIZACBtDh8+nFS/Hj16pLgSIFyEMwDBO5botkAnae5G\n1QDQXnBBAAAAQEAIZwAAAAEhnAEAAASEcAYAABAQLggAAMRw8UX7cijJm8nncF/TdoWRMwAAgIAQ\nzgAAAAJCOAMAAAgI55wBANKGlf+BlhHOAASPk88BdCZMawIAAASEcAYAABAQwhkAAEBACGcAAAAB\n4YIAAEAMF1+0L6z83zExcgYAABAQwhkAAEBACGcAAAABIZwBAAAEhHAGAAAQEMIZAABAQAhnAAAA\nASGcAQAABIRwBgAAEBDCGQAAQEAIZwAAAAEhnAEAAASEcAYAABAQwhkAAEBACGcAAAABIZwBAAAE\nhHAGAAAQEMIZAABAQAhnAAAAASGcAQAABIRwBgAAEBDCGQAAQEAIZwAAAAEhnAEAAASEcAYAABAQ\nwhkAAEBACGcAAAABIZwBAAAEhHAGAAAQEMIZAABAQAhnAAAAASGcAQAABCRj4czMLjWzbWZ2wsyG\nNdPvL2a22cw2mtm6dNYIAACQbqdl8LW3SvqKpLtb6PeBpGJ335/6kgAAADIrY+HM3V+VJDOzFrqa\nmH4FAACdRHsIPS5plZlVm9m/ZroYAACAVErpyJmZrZLUL75JkbB1s7svS/Iw/+zuu83sDEVC2svu\n/mxb1woAABCClIYzdy9tg2Psjv5+x8x+L2m4pIThbO7cubHHxcXFKi4ubm0JAAAArVZVVaWqqqoW\n+5m7p76a5gowWyPpJnd/sYnnciR1cff3zaynpJWSyt19ZYJjeabfD4DklJeXa86cOZkuAwAyxszk\n7o3Ovc/kUhpfNrM3JY2Q9LiZLY+2f8rMHo926yfpWTPbKGmtpGWJghkAAEBHkMmrNR+T9FgT7bsl\nXRR9/LqkgjSXBgAAkDHt4WpNAACAToNwBgAAEBDCGQAAQEAIZwAAAAEhnAEAAASEcAYAABAQwhkA\nAEBACGcAAAABIZwBAAAEhHAGAAAQEMIZAABAQAhnAAAAASGcAQAABIRwBgAAEJDTMl0AAADt3bFj\nx5Lql5WVleJK0BEwcgYAABAQwhkAAEBACGcAAAABIZwBAAAEhHAGAAAQEMIZAABAQFhKAwDQqbDs\nBULHyBkAAEBACGcAAAABYVoTAIBWYgoUbYmRMwAAgIAQzgAAAAJCOAMAAAgI4QwAACAghDMAAICA\nEM4AAAACwlIaAIBOhWUvEDpGzgAAAAJCOAMAAAgI4QwAACAghDMAAICAEM4AAAACQjgDAAAICOEM\nAAAgIIQzAACAgBDOAAAAAkI4AwAACAjhDAAAICCEMwAAgIAQzgAAAAJCOAMAAAgI4QwAACAghDMA\nAICAEM4AAAACQjgDAAAICOEMAAAgIIQzAACAgBDOAAAAAkI4AwAACAjhDAAAICCEMwAAgIAQzgAA\nAAJCOAMAAAgI4QwAACAghDMAAICAEM4AAAACQjgDAAAICOEMAAAgIIQzAACAgBDOAAAAAkI4AwAA\nCAjhDAAAICCEMwAAgIAQzgAAAAJCOAMAAAjIaZkuAACAVDp27FhS/bKyslJcCZAcRs4AAAACQjgD\nAAAICOEMAAAgIIQzAACAgBDOAAAAAkI4AwAACAjhDAAAICCEMwAAgIAQzgAAAALCHQIAAB0aK/+j\nvWHkDAAAICCEMwAAgIBkLJyZ2W1m9rKZbTKzpWb2iQT9xpvZK2b2JzOble46AQAA0imTI2crJQ12\n9wJJOyT9x8kdzKyLpF9KulDSYElTzOyzaa0SAAAgjTIWzty90t0/iG6ulXRmE92GS9rh7jXuHpe8\nmAAACPJJREFUXiepQtIl6aoRAAAg3UI55+waScubaP+0pDfjtt+KtgEAAHRIKV1Kw8xWSeoX3yTJ\nJd3s7suifW6WVOfuv0tlLQAAAO1BSsOZu5c297yZXS1poqQxCbr8VdLZcdtnRtsSmjt3buxxcXGx\niouLWy4UAAAgxaqqqlRVVdViP3P31FfT1AubjZf0M0n/4u77EvTpKulVSWMl7Za0TtIUd385QX/P\n1PsBcGrKy8s1Z86cTJcBABljZnJ3O7k9k+ec3SXpY5JWmdkGM/u1JJnZp8zscUly9xOSvq3IlZ3b\nJVUkCmYAAAAdQcZu3+Tun0nQvlvSRXHb/y3pnHTVBQAAkEmhXK0JAAAAEc4AAACCQjgDAAAICOEM\nAAAgIIQzAACAgBDOAAAAAkI4AwAACAjhDAAAICCEMwAAgIAQzgAAAAJCOAMAAAgI4QwAACAghDMA\nAICAEM4AAAACQjgDAAAICOEMAAAgIIQzAACAgBDOAAAAAkI4AwAACAjhDAAAICCEMwAAgIAQzgAA\nAAJCOAMAAAgI4QwAACAghDMAAICAEM4AAAACQjgDAAAICOEMAAAgIIQzAACAgBDOkBJVVVWZLgGB\ne/311zNdAgLH9wha0lE/I4QzpERH/T8M2s5f/vKXTJeAwPE9gpZ01M8I4QwAACAghDMAAICAmLtn\nuoY2Y2Yd580AAIAOz93t5LYOFc4AAADaO6Y1AQAAAkI4AwAACAjhDG3CzHqZ2Uoze9XMVphZboJ+\nfzGzzWa20czWpbtOpJ+ZjTezV8zsT2Y2K0GfX5jZDjPbZGYF6a4RmdXSZ8TMzjez98xsQ/TnlkzU\nicwws9+a2dtmtqWZPh3qO4RwhrbyPUmV7n6OpKck/UeCfh9IKnb3oe4+PG3VISPMrIukX0q6UNJg\nSVPM7LMn9Zkg6R/d/TOS/k3Sb9JeKDImmc9I1DPuPiz6syCtRSLTFiny+WhSR/wOIZyhrVwi6b7o\n4/skfTlBPxOfu85kuKQd7l7j7nWSKhT5rMS7RNL9kuTuf5SUa2b90lsmMiiZz4gU+e5AJ+Tuz0ra\n30yXDvcdwn8k0Vb6uvvbkuTueyT1TdDPJa0ys2oz+9e0VYdM+bSkN+O234q2Ndfnr030QceVzGdE\nkr4YnbJ6wsw+l57S0E50uO+Q0zJdANoPM1slKf6vEVMkbDV1/keiNVr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ChQsZMGCAxyGvLIMHDyYpKQlwhL8hQ4b8osfp1q0b7du3Z9y4cQBs2rTJGSTvuusu1q1b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"text/plain": [ - "" + "" ] }, "metadata": {}, "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ - "\n", - "\n", - "Compare(removekey(collection_var[9], 'UVIC_Calen')) #2015" + "UVIC = Compare(collection_var[-1])\n", + "#print(\"There are \"+ str(len(UVIC.V2_AB)) + \" members in common. They are : \" + str(UVIC.V2_AB))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Now that some Twitter collections have been included, the analysis is a bit more meaningful. The way to look at this graph is to examine the horizontal axis, which accounts for 30% of the difference among the collections. There is a clear deliniation between the Twitter collections (+ TSpace) and the web archives. On the vertical axis (17% of the explanation) there is a shift between the Fort McMurray Fires and Tspace.\n", - "\n", - "HA: Twitter to archives.\n", - "VA: Local (bottom) to global (top)\n", - "QUA: Toronto collections" + "Removing the Twitter examples, again we see that the collections are not very distinct in terms of url exchange." ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 57, "metadata": { "collapsed": false }, @@ -475,17 +419,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "['UVIC_trans', 'UVIC_VI_Go', 'UVIC_Resea', 'UVIC_50tha', 'ALBERTA_pr', 'WAHR_panam', 'TORONTO_ca', 'UVIC_anarc', 'TORONTO_ts', 'UVIC_bc_te', 'UVIC_VI_Ne', 'UVIC_Digit', 'WAHR_exln4', 'UVIC_Websi', 'UVIC_Facul', 'WAHR_ymmfi', 'UVIC_envir']\n", - "[ 0.38902758 0.16973488 0.10551474 0.09985411 0.076855 0.07135742\n", - " 0.06688737 0.05581057 0.05019095 0.04601148 0.03888525 0.03422685\n", - " 0.0333708 0.02467738 0.01574791 0.01352579]\n" + "['UVIC_Calendar', 'UVIC_Websites', 'UVIC_Faculty', 'UVIC_VI_Gov', 'UVIC_50thannive', 'UVIC_DigitalSch', 'UVIC_bc_teacher', 'UVIC_environmen', 'UVIC_Research_C', 'UVIC_VI_News', 'UVIC_trans_web-', 'UVIC_anarchist_']\n", + "[ 0.1561991 0.0979351 0.07218339 0.06522017 0.05474628 0.03977227\n", + " 0.03558125 0.03248739 0.02590215 0.02458546 0.01160857]\n" ] }, { "data": { - "image/png": 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iBTVr1uTUqVPF3n9SUhJjx46lSZMmrF+/vshjw8PDefzxx2nXrh2xsbGkpKQAMHz4cB54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\n9SosLNTmzZtVWVmpe++9Vy+++GKDHiMwKPuMM87QV199Ve+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S8j/feNm9e7dGjBgRbHcg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LO3fubE+FVrduXXr06EFubi4tW7Zk69atnDhxgvXr1zNs2DD7wz07O9vev3fv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\npE3kSKIkbYLMXATc33Ux7Rbbi3dGUyVpq3IkUZIkSQVHEiVJklQwJEq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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -494,39 +437,27 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 25, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Compare(removekey(collection_var[10], 'UVIC_Calen')) #2016" + "collection_var[-1] = removekey(collection_var[-1], 'WAHR_ymmfire-ur')\n", + "collection_var[-1] = removekey(collection_var[-1], 'WAHR_panamapape')\n", + "collection_var[-1] = removekey(collection_var[-1], 'WAHR_exln42-all')\n", + "Compare(collection_var[-1])\n", + "#print(\"There are \"+ str(len(UFT.V2_AB)) + \" members in common. They are : \" + str(UFT.V2_AB))" ] }, { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "ename": "IndexError", - "evalue": "list index out of range", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mCompare\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mremovekey\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcollection_var\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m11\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'UVIC_Calen'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;31mIndexError\u001b[0m: list index out of range" - ] - } - ], + "cell_type": "markdown", + "metadata": {}, "source": [ - "Compare(removekey(collection_var[11], 'UVIC_Calen'))" + "*Conclusion*: The web archive collections are quite similar in terms of url content. More research is necessary to determine why, but analysis of collection policies regarding web archives may be beneficial to decide whether the current approach is meeting organizational needs. The lack of distinction among the collections is an area of curiosity, due to a lack of internal diversity among the sources." ] }, { diff --git a/Scripts/compare_collection/UVIC/DUMMY_GOVERNMENT b/Scripts/compare_collection/UVIC/DUMMY_GOVERNMENT new file mode 100644 index 0000000..324b3c6 --- /dev/null +++ b/Scripts/compare_collection/UVIC/DUMMY_GOVERNMENT @@ -0,0 +1,180 @@ +((201101,ab.ca),30) +((201101,ac.uk),30) +((201101,alberta.ca),30) +((201101,albertahealthservices.ca ),30) +((201101,bc.ca),30) +((201101,co.nz),30) +((201101,co.uk),30) +((201101,co.za),30) +((201101,com.au),30) +((201101,com.br),30) +((201101,europa.eu),30) +((201101,gc.ca),30) +((201101,gov.au),30) +((201101,gov.uk),30) +((201101,liberal.ca),30) +((201101,mb.ca),30) +((201101,nasa.gov),30) +((201101,nih.gov),30) +((201101,ns.ca),30) +((201101,oecd.org),30) +((201101,on.ca),30) +((201101,org.uk),30) +((201101,qc.ca),30) +((201101,sk.ca),30) +((201101,state.gov ),30) +((201101,ualberta.ca ),30) +((201101,ubc.ca 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),30) +((201501,googlesyndication.com ),30) +((201501,googletagmanager.com ),30) +((201501,googleusercontent.com ),30) +((201501,googlevideo.com ),30) +((201501,gstatic.com ),30) +((201501,list-manage.com ),30) +((201501,macromedia.com ),30) +((201501,mailoutinteractive.com ),30) +((201501,microsoft.com ),30) +((201501,mozilla.org ),30) +((201501,myshopify.com ),30) +((201501,newrelic.com ),30) +((201501,nexac.com ),30) +((201501,oracle.com ),30) +((201501,ow.ly ),30) +((201501,paypal.com ),30) +((201501,rogers.com ),30) +((201501,rogersmedia.com ),30) +((201501,scribblelive.com ),30) +((201501,shaw.ca ),30) +((201501,suncor.com ),30) +((201501,surveymonkey.com ),30) +((201501,telus.com ),30) +((201501,tinyurl.com ),30) +((201501,typekit.com ),30) +((201501,typography.com ),30) +((201501,verticalresponse.com ),30) +((201501,yahoo.com ),30) +((201501,yimg.com ),30) +((201601,adobe.com ),30) +((201601,akamai.net ),30) +((201601,akamaihd.net ),30) +((201601,amazon.com ),30) +((201601,amazonaws.com ),30) +((201601,aol.com ),30) +((201601,apple.com ),30) +((201601,appspot.com ),30) +((201601,bing.com ),30) +((201601,bit.ly ),30) +((201601,bitly.com ),30) +((201601,blackberry.com ),30) +((201601,bluekai.com ),30) +((201601,cloudfront.net ),30) +((201601,gmail.com ),30) +((201601,goo.gl ),30) +((201601,google-analytics.com ),30) +((201601,google.ca ),30) +((201601,google.com ),30) +((201601,googleapis.com ),30) +((201601,googlesyndication.com ),30) +((201601,googletagmanager.com ),30) +((201601,googleusercontent.com ),30) +((201601,googlevideo.com ),30) +((201601,gstatic.com ),30) +((201601,list-manage.com ),30) +((201601,macromedia.com ),30) +((201601,mailoutinteractive.com ),30) +((201601,microsoft.com ),30) +((201601,mozilla.org ),30) +((201601,myshopify.com ),30) +((201601,newrelic.com ),30) +((201601,nexac.com ),30) +((201601,oracle.com ),30) +((201601,ow.ly ),30) +((201601,paypal.com ),30) +((201601,rogers.com ),30) +((201601,rogersmedia.com ),30) +((201601,scribblelive.com ),30) +((201601,shaw.ca ),30) +((201601,suncor.com ),30) +((201601,surveymonkey.com ),30) +((201601,telus.com ),30) +((201601,tinyurl.com ),30) +((201601,typekit.com ),30) +((201601,typography.com ),30) +((201601,verticalresponse.com ),30) +((201601,yahoo.com ),30) +((201601,yimg.com ),30) \ No newline at end of file diff --git a/Scripts/compare_collection/compare_collections.ipynb b/Scripts/compare_collection/compare_collections.ipynb index 2eb6ff0..bfa82aa 100644 --- a/Scripts/compare_collection/compare_collections.ipynb +++ b/Scripts/compare_collection/compare_collections.ipynb @@ -17,9 +17,9 @@ "\n", "Imagine being a graduate-level historian in 2050, writing a paper about amateur historians during the period of 2011-2016. You ask for the collection of history blogs and you get a web archives file (also called a **.WARC** file) that's 500 Gigabytes or more. \n", "\n", - "You might want to give up already! Fortunately, you learn that there is a tool called [Warcbase](http://lintool.github.io/warcbase-docs/) that pull useful information like links, text and images from the files. Maybe all the links from the websites could be used to do a network analysis. \n", + "You might want to give up already! Fortunately, [Warcbase](http://lintool.github.io/warcbase-docs/) will pull useful information like links, text and images from the files. Maybe you could use links from the websites to do a network analysis. \n", "\n", - "It's still complex - files like these often run in the 100s of MBs. Using Warcbase, you can also do Name-entity Recognition (NER) on the text and get a summary of the people, locations and subjects mentioned in the file.\n", + "Derivative files like these run in the 100s of MBs. Using Warcbase, you can also do Name-entity Recognition (NER) on the text and get a summary of the people, locations and subjects mentioned in the file.\n", "\n", "Let us go with a research question. Some of the Social media are full of filter bubbles. Maybe our historian bloggers are biased towards the same subjects. What if we could compare what those historians say and link to \n", "against other related bloggers - say archeologists, economists, political scientists, sociologists and anthropologists? \n", @@ -29,13 +29,12 @@ "This Compare class is a first crack at solving this problem using (soon to be multiple!) correspondence analysis and\n", "venn diagrams. Instead of bloggers, we are looking at some web archive collections collected by the University of Alberta\n", "and the University of Toronto.\n", - "\n", - "^[We call the dates that a crawler took a picture *crawl dates*. That's different from the date a website posted something. In general, when you see a date here, it is a crawl date.] " + " " ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 2, "metadata": { "collapsed": false }, @@ -58,13 +57,13 @@ "import mca\n", "import matplotlib.pyplot as plt\n", "from collections import defaultdict\n", - "import mpld3\n", - "mpld3.enable_notebook()\n" + "#import mpld3\n", + "#mpld3.enable_notebook()\n" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 3, "metadata": { "collapsed": false }, @@ -87,23 +86,28 @@ " scores.\n", " \n", " Parameters: \n", - " collections (required): A list of lists or a dict() of size 2 or greater for comparison purposes. \n", - " names: An optional list of names for the collections. Must be equal in size to collections. If collections is \n", + " @collections (required): A list of lists or a dict() of size 2 or greater for comparison purposes. \n", + " @names: An optional list of names for the collections. Must be equal in size to collections. If collections is \n", " a dict, this parameter will be overwritten.\n", - " index: A list of index keys to create a sublist for the collections.\n", - " var: An optional list for further categorization of the collection data (not fully implemented yet).\n", - " REMOVE_SINGLES: (Default:True) For 4 collections or more, remove from the analysis any data points that are\n", + " @index: A list of index keys to create a sublist for the collections.\n", + " @var: An optional list for further categorization of the collection data (not fully implemented yet).\n", + " @REMOVE_SINGLES: (Default:True) For 4 collections or more, remove from the analysis any data points that are\n", " members of only one collection. This reduces the chance that a disproportionately large collection\n", " will be seen as an outlier merely because it is disproportionately large.\n", + " @DIM3: either 2 or 3 - # of dimensions to visualize (2D or 3D)\n", + " LABEL_BOTH_FACTORS: whether to use two factors in results (default to just one).\n", " \n", " \"\"\"\n", " \n", - " def __init__ (self, collections, names=[], index=[], var=[], REMOVE_SINGLES=True, DIMENSIONS_OP=2, LABEL_BOTH_FACTORS=False):\n", + " def __init__ (self, collections, names=[], index=[], var=[], REMOVE_SINGLES=True, DIM3=False, LABEL_BOTH_FACTORS=False):\n", " self.collection_names = names\n", " self.index = index\n", " self.collections = collections\n", " self.REMOVE_SINGLES = REMOVE_SINGLES\n", - " self.DIMENSIONS_OP = DIMENSIONS_OP\n", + " if DIM3 == True:\n", + " self.DIMS = 3\n", + " else:\n", + " self.DIMS = 2\n", " self.LABEL_BOTH_FACTORS = LABEL_BOTH_FACTORS\n", " self.dimensions = None\n", " self.result = {}\n", @@ -147,13 +151,54 @@ " self.ca = self.ca(self.collections, self.collection_names)\n", " else:\n", " self.no_compare()\n", + " \n", " def recur_len(self, L):\n", - " return sum(L + recur_len(item) if isinstance(item,list) else L for item in L) \n", + " return sum(L + recur_len(item) if isinstance(item, list) else L for item in L) \n", " def no_compare(self):\n", " return (\"Need at least two collections to compare results.\")\n", " #get a sublist from a list of indices\n", " def sublist (self, list1, list2):\n", - " return([list1[x] for x in list2]) \n", + " return([list1[x] for x in list2]) \n", + " \n", + " ## Data processing functions\n", + " \n", + " def processCollection (self, path):\n", + " #initialise vars:\n", + " urls = []\n", + " #establish the data folder\n", + " for filename in os.listdir(path):\n", + " with open(path+filename, \"r\") as file:\n", + " print (filename) #see the filenames available.\n", + " urls.append(list({(filename[0:15], line.translate(str.maketrans(')',\" \")).split(\",\")[0][2:6], line.translate(str.maketrans(')',\" \")).split(\",\")[1]) for line in file.readlines()}))\n", + " return(urls)\n", + " \n", + " def convert_full_urls (self, path):\n", + " collection = dict()\n", + " for filename in os.listdir(path):\n", + " with open(path+filename, \"r\") as file:\n", + " print(filename)\n", + " # result: {'www.url1.suf', 'www.biglovely.url2.suf', 'education.url3.suf'}\n", + " collect2 = [x.split(\".\")[-2]+\".\"+x.split(\".\")[-1] for x in collect]\n", + " collection[filename[0:15]] = (collect2) #convert collect2 to a dict {truncatedFILENAME: [url1.suf, url2.suf, url3.suf]}\n", + " return (collection)\n", + " \n", + " def convert_subdomain_urls (self, path):\n", + " collection = dict()\n", + " for filename in os.listdir(path):\n", + " with open(path+filename, \"r\") as file:\n", + " print(filename)\n", + " #split the data by comma and lose the closing url. Put it in a set to remove duplicates.\n", + " collect = {line.translate(str.maketrans(')',\" \")).split(\",\")[1] for line in file.readlines()}\n", + " collect4 = [x for x in collect]\n", + " # result merely converts each set to a big list of urls. (Full scope of analysis)\n", + " collection[filename[0:15]] = (collect4) #convert collect4 to a dict.\n", + " return(collection)\n", + "\n", + " def removekey(self, d, key):\n", + " r = dict(d)\n", + " del r[key]\n", + " return r\n", + " \n", " #get set of all items (unduplicated)\n", " def unionize (self, sets_list):\n", " return set().union(*sets_list)\n", @@ -174,8 +219,7 @@ " print (names)\n", " dd = self.unionize(collections)\n", " d = [] #create\n", - " e = []\n", - " #labels\n", + " e = [] #labels\n", " fs, cos, cont = 'Factor Score', 'Squared cosines', 'Contributions x 1000'\n", " #populate table with matches for actors (weblists)\n", " for y in collections:\n", @@ -185,32 +229,54 @@ " df = pd.DataFrame(d, index=names) \n", " if self.REMOVE_SINGLES:\n", " df = df.loc[:, df.sum(0) >1 ]\n", + " df.fillna(False)\n", " #if self.var:\n", " # df.loc[:,\"SUFFIX\"] = pd.Series(e, index=df.index)\n", " self.response = df.T\n", " counts = mca.mca(df)\n", " self.dimensions = counts.L\n", + " print(self.dimensions)\n", " data = pd.DataFrame(columns=df.index, index=pd.MultiIndex\n", " .from_product([[fs, cos, cont], range(1, 3)]))\n", - " data.loc[fs, :] = counts.fs_r(N=self.DIMENSIONS_OP).T\n", - " points = data.loc[fs].values\n", - " urls = counts.fs_c(N=self.DIMENSIONS_OP).T\n", - " self.clabels = data.columns.values\n", - " plt.figure(figsize=(10,10))\n", - " plt.margins(0.1)\n", - " plt.axhline(0, color='gray')\n", - " plt.axvline(0, color='gray')\n", - " plt.xlabel('Factor 1 (' + str(round(self.dimensions[0], 3)*100) + '%)') \n", - " plt.ylabel('Factor 2 (' + str(round(self.dimensions[1], 3)*100) + '%)')\n", - " plt.scatter(*points, s=120, marker='o', c='r', alpha=.5, linewidths=0)\n", - " plt.scatter(*urls, s=120, marker='s', c='b', alpha=.5, linewidths=0)\n", - " for label, x, y in zip(self.clabels, *points):\n", - " plt.annotate(label, xy=(x, y), xytext=(x + .03, y + .03))\n", - " if self.LABEL_BOTH_FACTORS:\n", - " self.rlabels = df.T.index\n", - " for label, x, y in zip(self.rlabels, *urls):\n", + " self.result[\"rows\"] = counts.fs_r(N=self.DIMS).T\n", + " self.result[\"columns\"] = counts.fs_c(N=self.DIMS).T\n", + " #self.result[\"df\"] = data.T[fs].add(noise).groupby(level=['Collection'])\n", + " #data.loc[fs, :] = counts.fs_r(N=self.DIMS).T\n", + " points = self.result[\"rows\"]\n", + " urls = self.result[\"columns\"]\n", + " if self.DIMS == 3:\n", + " clabels = data.columns.values\n", + " fig = plt.figure(figsize=(10,10))\n", + " ax = fig.add_subplot(111, projection='3d')\n", + "\n", + " plt.margins(0.1)\n", + " plt.axhline(0, color='gray')\n", + " plt.axvline(0, color='gray')\n", + " ax.set_xlabel('Factor 1 (' + str(round(float(self.dimensions[0]), 3)*100) + '%)') \n", + " ax.set_ylabel('Factor 2 (' + str(round(float(self.dimensions[1]), 3)*100) + '%)')\n", + " ax.set_zlabel('Factor 3 (' + str(round(float(self.dimensions[2]), 3)*100) + '%)')\n", + " \n", + " ax.scatter(*points, s=120, marker='o', c='r', alpha=.5, linewidths=0)\n", + " ax.scatter(*urls, s=120, marker='s', c='whitesmoke', alpha=.5, linewidths=0)\n", + " for clabel, x, y, z in zip(clabels, *points):\n", + " ax.text(x,y,z, '%s' % (clabel), size=20, zorder=1, color='k') \n", + " else:\n", + " self.clabels = data.columns.values\n", + " plt.figure(figsize=(25,25))\n", + " plt.margins(0.1)\n", + " plt.axhline(0, color='gray')\n", + " plt.axvline(0, color='gray')\n", + " plt.xlabel('Factor 1 (' + str(round(float(self.dimensions[0]), 3)*100) + '%)') \n", + " plt.ylabel('Factor 2 (' + str(round(float(self.dimensions[1]), 3)*100) + '%)')\n", + " plt.scatter(*points, s=120, marker='o', c='r', alpha=.5, linewidths=0)\n", + " plt.scatter(*urls, s=120, marker='s', c='whitesmoke', alpha=.5, linewidths=0)\n", + " for label, x, y in zip(self.clabels, *points):\n", " plt.annotate(label, xy=(x, y), xytext=(x + .03, y + .03))\n", - " plt.show()\n", + " if self.LABEL_BOTH_FACTORS:\n", + " self.rlabels = df.T.index\n", + " for label, x, y in zip(self.rlabels, *urls):\n", + " plt.annotate(label, xy=(x, y), xytext=(x + .03, y + .03))\n", + " plt.show()\n", " return(data.T)\n", " \n", " def mca(self, collections, names):\n", @@ -246,79 +312,80 @@ " #print(table2.inertia)\n", " fs, cos, cont = 'Factor score','Squared cosines', 'Contributions x 1000'\n", " data = pd.DataFrame(columns=table1.index, index=pd.MultiIndex\n", - " .from_product([[fs, cos, cont], range(1, self.DIMENSIONS_OP+1)]))\n", - " print(data)\n", + " .from_product([[fs, cos, cont], range(1, self.DIMS+1)]))\n", + " #print(data)\n", " noise = 0.07 * (np.random.rand(*data.T[fs].shape) - 0.5)\n", - " if self.DIMENSIONS_OP > 2:\n", - " data.loc[fs, :] = table2.fs_r(N=self.DIMENSIONS_OP).T\n", - " self.result[\"rows\"] = table2.fs_r(N=self.DIMENSIONS_OP).T\n", - " self.result[\"columns\"] = table2.fs_c(N=self.DIMENSIONS_OP).T\n", + " if self.DIMS > 2:\n", + " data.loc[fs, :] = table2.fs_r(N=self.DIMS).T\n", + " self.result[\"rows\"] = table2.fs_r(N=self.DIMS).T\n", + " self.result[\"columns\"] = table2.fs_c(N=self.DIMS).T\n", " self.result[\"df\"] = data.T[fs].add(noise).groupby(level=['Collection'])\n", " \n", - " data.loc[fs, :] = table2.fs_r(N=2).T\n", - " print(data.loc[fs, :])\n", + " data.loc[fs, :] = table2.fs_r(N=self.DIMS).T\n", + " # print(data.loc[fs, :])\n", "\n", " #print(points)\n", - " urls = table2.fs_c(N=2).T\n", + " urls = table2.fs_c(N=self.DIMS).T\n", " self.plabels = var_index \n", "\n", " fs_by_source = data.T[fs].add(noise).groupby(level=['Collection'])\n", "\n", " fs_by_date = data.T[fs]\n", " self.dpoints = data.loc[fs].values\n", + " print(self.dpoints[1:3])\n", " fig, ax = plt.subplots(figsize=(10,10))\n", " plt.margins(0.1)\n", " plt.axhline(0, color='gray')\n", " plt.axvline(0, color='gray')\n", - " plt.xlabel('Factor 1 (' + str(round(self.dimensions[0], 3)*100) + '%)')\n", - " plt.ylabel('Factor 2 (' + str(round(self.dimensions[1], 3)*100) + '%)')\n", + " plt.xlabel('Factor 1 (' + str(round(float(self.dimensions[0]), 3)*100) + '%)')\n", + " plt.ylabel('Factor 2 (' + str(round(float(self.dimensions[1]), 3)*100) + '%)')\n", " ax.margins(0.1)\n", " markers = '^', 's', 'o', 'o', 'v', \"<\", \">\", \"p\", \"8\", \"h\"\n", " colors = 'r', 'g', 'b', 'y', 'orange', 'peachpuff', 'm', 'c', 'k', 'navy'\n", " for fscore, marker, color in zip(fs_by_source, markers, colors):\n", - " #print(type(fscore[1]))\n", + " #print(type(fscore))\n", " label, points = fscore\n", - " ax.plot(*points.T.values, marker=marker, color=color, label=label, linestyle='', alpha=.5, mew=0, ms=12)\n", - " for plabel, x, y in zip(self.plabels, *self.dpoints):\n", - " #print(plabel)\n", + " ax.plot(*points.T.values[0:1], marker=marker, color=color, label=label, linestyle='', alpha=.5, mew=0, ms=12)\n", + " for plabel, x, y in zip(self.plabels, *self.dpoints[1:3]):\n", + " print(plabel)\n", " #print(xy)\n", " plt.annotate(plabel, xy=(x, y), xytext=(x + .15, y + .15))\n", " ax.legend(numpoints=1, loc=4)\n", - " plt.show()" + " plt.show()\n", + " " ] }, { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'Compare' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 3\u001b[0m \"\"\"\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 5\u001b[1;33m \u001b[0mcompare4\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mCompare\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0murls\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mDIMENSIONS_OP\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 6\u001b[0m \u001b[1;31m#print(compare4.dimensions)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[1;31m#print(compare4.response[0:10])\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mNameError\u001b[0m: name 'Compare' is not defined" - ] - } - ], + "cell_type": "markdown", + "metadata": {}, "source": [ - "\"\"\" This provides a graph that shows the dates (labels) in action by collection (shape/color). It is also possible to show the \n", - "collections by date if desired.\n", - "\"\"\"\n", + "## Processing the data\n", "\n", - "compare4 = Compare(urls, index=[0,1,2,3], DIMENSIONS_OP=3)\n", - "#print(compare4.dimensions)\n", - "#print(compare4.response[0:10])" + "We requested dates, links and the counts (this tells us the most popular links) from WARC files. We've stored the data in a folder called \"assembled.\"\n", + "\n", + "These archives include examples of tweets from the Alberta Provincial Election \\#42. This election was interesting because it represented a shift from long-standing Alberta Conservative governments to a more left-leaning NDP. Other important events were Idle No More and the Ottawa Shooting on October 2014.\n", + "\n", + "There are also archives that\n", + "contain grey literature from the Humanities, Health Sciences and Canadian Business. \n", + "\n", + "And then there are some more general archives. For instance, Canadian Political Parties, Energy and the Environment\n", + "and Humanities Computing.\n", + "\n", + "The first three results from each output looks something like this:\n", + "\n", + "(([CRAWL DATE], link), count)\n", + " \n", + "((201601,linkis.com),11102) \n", + "((201601,m.youtube.com),8764)\n", + "((201601,www.youtube.com),7481)\n", + "\n", + "This gives us the ability to compare the different archive collections through links. (Later this description will\n", + "contain examples that use the dates as well.)\n" ] }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 4, "metadata": { "collapsed": false }, @@ -330,53 +397,36 @@ "These are the files that have been accessed through this script:\n", "\n", "\n", - "elxn42-all.txt\n", - "health_sciences_grey_literature-all.txt\n", - "canadian_business_grey_literature-all.txt\n", - "web_archive_general-all.txt\n", - "alberta_floods_2013-all.txt\n", - "heritage_community_foundation-all.txt\n", - "hcf_alberta_online_encyclopedia-all.txt\n", - "alberta_education_curriculum-all.txt\n", - "alberta_oil_sands-all.txt\n", - "humanities_computing-all.txt\n", - "idle_no_more-all-urls.txt\n", - "ottawa_shooting_october_2014-all.txt\n", - "energy_environment-all.txt\n", - "prarie_provinces-all.txt\n", - "canadian_political_parties.txt\n", - "lfrancophonie_de_louest_canadien-all.txt\n" + "EDUCATION_CURRICULUM\n", + "HEALTH_SCIENCES_GREY\n", + "TWITTER_ymm_fire\n", + "HUMANITIES_DUMMY\n", + "IDLENOMORE\n", + "HERITAGE_COMMUNITY\n", + "OTTAWA_SHOOTING\n", + "UVIC_environmental_organizations_and_resources_of_bc-urls.txt\n", + "TWITTER_panamapapers\n", + "TWITTER_elxn42\n", + "PRAIRIE_PROVINCES\n", + "TORONTO_CPP\n", + "DUMMY_OVERALL\n", + "FLOODS_2013\n", + "FRANCOPHONIE_DE_LOUEST\n", + "HCF_ENCYCLOPEDIA\n", + "OIL_SANDS\n", + "ENERGY_ENV\n", + "WEBARCHIVE_GENERAL\n", + "DUMMY_GOVERNMENT\n", + "MEDIADUMMY\n", + "SOCIALMEDIADUMMY\n", + "BUSINESS_GREY_LIT\n", + "DUMMY_TECHNOLOGY_SITES\n", + "DUMMY_ORGANIZATION\n", + "TORONTO_tspace-urls.txt\n" ] } ], "source": [ - "\"\"\"\n", - "We ran a number of web archive WARC files through Warcbase, requesting dates, links and the counts (this tells us the most\n", - "popular links, but also helps us to remove duplicates). We've stored this data in a folder called \"assembled.\"\n", - "\n", - "These archives include examples of tweets from the Alberta Provincial Election #42. This election was interesting because\n", - "it represented a shift from long-standing Conservative governments to a more left-leaning NDP. Other important events were \n", - "recorded for Idle No More and the Ottawa Shooting on October 2014.\n", - "\n", - "There are also archives that\n", - "contain grey literature from the Humanities, Health Sciences and Canadian Business. \n", - "\n", - "And then there are some more general archives. For instance, Canadian Political Parties, Energy and the Environment\n", - "and Humanities Computing.\n", - "\n", - "The first three results from each output looks something like this:\n", - "\n", - "(([CRAWL DATE], link), count)\n", - " \n", - "((201601,linkis.com),11102), \n", - "((201601,m.youtube.com),8764),\n", - "((201601,www.youtube.com),7481)\n", - "\n", - "This gives us the ability to compare the different archive collections through links. (Later this description will\n", - "contain examples that use the dates as well.)\n", - "\n", - "\"\"\"\n", - "\n", "#initialise vars:\n", "collection = dict()\n", "collection_2 = dict()\n", @@ -409,7 +459,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 4, "metadata": { "collapsed": false }, @@ -418,59 +468,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Links in Common (there are 160) : {'ontario.ca ', 'chartbeat.com ', 'oecd.org ', 'gc.ca ', 'blogspot.ca ', 'nt.ca ', 'usatoday.com ', 'gravatar.com ', 'apple.com ', 'youtube-nocookie.com ', 'com.au ', 'lunghealthframework.ca ', 'newswire.ca ', 'indiancountrytodaymedianetwork.com ', 'mailoutinteractive.com ', 'kelowna.com ', 'amazonaws.com ', 'atdmt.com ', 'newrelic.com ', 'vimeo.com ', 'mediasend.ca ', 'cloudflare.com ', 'uwo.ca ', 'wikipedia.org ', 'naho.ca ', 'a9.com ', 'gmpg.org ', 'gov.uk ', 'ubc.ca ', 'appspot.com ', 'metisyouthexpressions.ca ', 'winnipegsun.com ', 'ogp.me ', 'openid.net ', 'nunatsiaqonline.ca ', 'stanford.edu ', 'fao.org ', 'mb.ca ', 'albertahealthservices.ca ', 'emcottawaeast.ca ', 'webns.net ', 'peggynash.ca ', 'qc.ca ', 'w3.org ', 'rssfwd.com ', 'usda.gov ', 'rojo.com ', 'smokershelpline.ca ', 'aol.com ', 'on.ca ', 'copyright.com ', 'youtu.be ', 'paypal.com ', 'vancouversun.com ', 'org.uk ', 'bclocalnews.com ', 'cyberpresse.ca ', 'facebook.com ', 'w.org ', 'wordpress.org ', 'flickr.com ', 'twitter.com ', 'yk.ca ', 'squarespace.com ', 'itk.ca ', 'uwaterloo.ca ', 'mozilla.org ', 'adobe.com ', 'healthedition.com ', 'aboriginalsexualhealth.ca ', 'cameco.com ', 'canada.com ', 'bit.ly ', 'npr.org ', 'georss.org ', 'macromedia.com ', 'hopestandard.com ', 'surveymonkey.com ', 'schema.org ', 'indiancountrytoday.com ', 'mail.ru ', 'metiscentreresearch.ca ', 'ytimg.com ', 'alberta.ca ', 'fortmcmurraytoday.com ', 'blogspot.com ', 'thespec.com ', 'tumblr.com ', 'purl.org ', 'bc.ca ', 'google-analytics.com ', 'digitaljournal.com ', 'nnsl.com ', 'youtube.com ', 'xmlsoap.org ', 'nytimes.com ', 'dublincore.org ', 'northshoreoutlook.com ', 'co.uk ', 'inuitknowledge.ca ', 'fnhc.ca ', 'thestar.com ', 'edmontonjournal.com ', 'disqus.com ', 'slideshare.net ', 'googleapis.com ', 'hydroquebec.com ', 'nih.gov ', 'cbc.ca ', 'google.com ', 'googletagmanager.com ', 'addthis.com ', 'csa.ca ', 'capebretonpost.com ', 'google.ca ', 'bluekai.com ', 'ab.ca ', 'winnipegfreepress.com ', 'yahoo.com ', 'globalnews.ca ', 'torontosun.com ', 'microsoft.com ', 'nexac.com ', 'metromonctonnews.com ', 'gen.xyz ', 'sk.ca ', 'polymtl.ca ', 'wordpress.com ', 'gov.au ', 'marketwire.com ', 'lapresse.ca ', 'googlesyndication.com ', 'nl.ca ', 'leaderpost.com ', 'canadianmidwives.org ', 'creativecommons.org ', 'edmonton.ca ', 'kamloopsthisweek.com ', 'thestarphoenix.com ', 'nationtalk.ca ', 'theglobeandmail.com ', 'themanitoban.com ', 'sourceforge.net ', 'wellformedweb.org ', 'doubleclick.net ', 'montrealgazette.com ', 'blogger.com ', 'blogblog.com ', 'resource.org ', 'canadaeast.com ', 'ottawacitizen.com ', 'storify.com ', 'ualberta.ca ', 'wawataynews.ca ', 'tinyurl.com ', 'europa.eu ', 'saskatoon.ca ', 'earthday.org ', 'bitworking.org ', 'gstatic.com '}\n" + "Links in Common (there are 0) : /n\n" ] }, { "data": { - "image/png": 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -492,12 +497,14 @@ "#Two collections will produce a two-way Venn diagram showing the cross over in terms of links.\n", "#Since collection is a dict() no need to include names.\n", "compare1 = Compare(collection, index=[4,7])\n", - "print(\"Links in Common (there are \"+ str(len(compare1.V2_AB)) + \") : \" + str(compare1.V2_AB))" + "print(\"Links in Common (there are \"+ str(len(compare1.V2_AB)) + \") : /n\" )\n", + "for x in compare1.V2_AB:\n", + " print (str(x) + \"\\n\")" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 5, "metadata": { "collapsed": false }, @@ -506,59 +513,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Links that both collections have in common: ontario.ca , chartbeat.com , oecd.org , gc.ca , blogspot.ca , nt.ca , usatoday.com , gravatar.com , apple.com , youtube-nocookie.com , com.au , lunghealthframework.ca , newswire.ca , indiancountrytodaymedianetwork.com , mailoutinteractive.com , kelowna.com , amazonaws.com , atdmt.com , newrelic.com , vimeo.com , mediasend.ca , cloudflare.com , uwo.ca , wikipedia.org , naho.ca , a9.com , gmpg.org , gov.uk , ubc.ca , appspot.com , metisyouthexpressions.ca , winnipegsun.com , ogp.me , openid.net , nunatsiaqonline.ca , stanford.edu , fao.org , mb.ca , albertahealthservices.ca , emcottawaeast.ca , webns.net , peggynash.ca , qc.ca , w3.org , rssfwd.com , usda.gov , rojo.com , smokershelpline.ca , aol.com , on.ca , copyright.com , youtu.be , paypal.com , vancouversun.com , org.uk , bclocalnews.com , cyberpresse.ca , facebook.com , w.org , wordpress.org , flickr.com , twitter.com , yk.ca , squarespace.com , itk.ca , uwaterloo.ca , mozilla.org , adobe.com , healthedition.com , aboriginalsexualhealth.ca , cameco.com , canada.com , bit.ly , npr.org , georss.org , macromedia.com , hopestandard.com , surveymonkey.com , schema.org , indiancountrytoday.com , mail.ru , metiscentreresearch.ca , ytimg.com , alberta.ca , fortmcmurraytoday.com , blogspot.com , thespec.com , tumblr.com , purl.org , bc.ca , google-analytics.com , digitaljournal.com , nnsl.com , youtube.com , xmlsoap.org , nytimes.com , dublincore.org , northshoreoutlook.com , co.uk , inuitknowledge.ca , fnhc.ca , thestar.com , edmontonjournal.com , disqus.com , slideshare.net , googleapis.com , hydroquebec.com , nih.gov , cbc.ca , google.com , googletagmanager.com , addthis.com , csa.ca , capebretonpost.com , google.ca , bluekai.com , ab.ca , winnipegfreepress.com , yahoo.com , globalnews.ca , torontosun.com , microsoft.com , nexac.com , metromonctonnews.com , gen.xyz , sk.ca , polymtl.ca , wordpress.com , gov.au , marketwire.com , lapresse.ca , googlesyndication.com , nl.ca , leaderpost.com , canadianmidwives.org , creativecommons.org , edmonton.ca , kamloopsthisweek.com , thestarphoenix.com , nationtalk.ca , theglobeandmail.com , themanitoban.com , sourceforge.net , wellformedweb.org , doubleclick.net , montrealgazette.com , blogger.com , blogblog.com , resource.org , canadaeast.com , ottawacitizen.com , storify.com , ualberta.ca , wawataynews.ca , tinyurl.com , europa.eu , saskatoon.ca , earthday.org , bitworking.org , gstatic.com \n" + "Links that both collections have in common: \n" ] }, { "data": { - "image/png": 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -574,7 +536,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 6, "metadata": { "collapsed": false }, @@ -583,59 +545,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Links that all collections have in common: wordpress.org , www.youtube.com , issuu.com , player.vimeo.com , wellformedweb.org , www.theglobeandmail.com , www.ottawacitizen.com , dublincore.org , www.w3.org , pm.gc.ca , bitworking.org , www.ipolitics.ca , purl.org , web.resource.org , gmpg.org \n" + "Links that all collections have in common: \n" ] }, { "data": { - "image/png": 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -649,88 +566,11 @@ ] }, { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['lfrancopho', 'canadian_b', 'alberta_ed', 'ottawa_sho', 'alberta_fl', 'canadian_p']\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/ryandeschamps/anaconda3/lib/python3.5/site-packages/mpld3/mplexporter/exporter.py:82: UserWarning: Blended transforms not yet supported. Zoom behavior may not work as expected.\n", - " warnings.warn(\"Blended transforms not yet supported. \"\n" - ] - }, - { - "data": { - "image/png": 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4DDgtpfRCgzbHAF9KKX2qLhBelVJqdJJFZ51FW9RJFj/6UeuGIHv3hosu2oID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\neJfC0K4kSZKaUNRblaWUjmh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\n", - "" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "cell_type": "markdown", + "metadata": {}, "source": [ - "\"\"\"\n", - "When four or more collections are added, we switch to correspondence analysis. Correspondence analysis is a \n", - "popular way to visualize relationships under two categories. In our case, we have the collections and the\n", - "links contained (or not contained) within the them. \n", + "With four or more collections, Compare switches to correspondence analysis. Correspondence analysis visualizes relationships under two categories. In our case, collections and the\n", + "links contained (or not contained) in them. \n", "\n", "In this case, the collections have been named and are represented by red circles. The blue squares represent links that\n", "two or more of the collections have in common, I have not included names here because there are too many.\n", @@ -757,22 +597,12 @@ "From a collection evaluation perspective, it might be worth examining the prairie provinces and idle no more \n", "collections for significant cross-over, or perhaps to ensure that they have some cross-references. However, some\n", "caution is necessary to ensure that the cross-over occurs due to meaningful reasons rather than some accident of \n", - "Internet behavior (eg. maybe YouTube is used more frequently by those collections).\n", - "\n", - "\"\"\"\n", - "\n", - "# With more than three collections, the output switches to correspondence analysis.\n", - "# Katherine Faust offers a great overview of the method here:\n", - "# www.socsci.uci.edu/~kfaust/faust/research/articles/articles.htm\n", - "\n", - "# In this case, we've eliminated a few items from the analysis.\n", - "\n", - "compare3 = Compare(collection, names, [i for i, x in enumerate(collection) if i not in [1,3,4,5,7,10,11,12,13,14]])" + "Internet behavior (eg. maybe YouTube is used more frequently by those collections)." ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 8, "metadata": { "collapsed": false }, @@ -781,11 +611,44 @@ "name": "stdout", "output_type": "stream", "text": [ - "[0.112, 0.107, 0.088999999999999996, 0.063, 0.0089999999999999993]\n", - "Inertia: 0.380779422528\n" + "['ENERGY_ENV', 'TWITTER_pa', 'TWITTER_el', 'TORONTO_CP', 'UVIC_envir', 'HUMANITIES', 'DUMMY_OVER', 'PRAIRIE_PR', 'WEBARCHIVE', 'HERITAGE_C', 'TWITTER_ym', 'OIL_SANDS', 'HEALTH_SCI', 'OTTAWA_SHO', 'EDUCATION_']\n" + ] + }, + { + "ename": "ValueError", + "evalue": "array must not contain infs or NaNs", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;31m# In this case, we've eliminated a few items from the analysis.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m \u001b[0mcompare3\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mCompare\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcollection\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnames\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcollection\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32min\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m6\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m7\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m14\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m16\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m17\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m18\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m19\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m21\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m23\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m24\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32m\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, collections, names, index, var, REMOVE_SINGLES, DIM3, LABEL_BOTH_FACTORS)\u001b[0m\n\u001b[0;32m 78\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 79\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvar\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 80\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mca\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mca\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcollections\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcollection_names\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 81\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 82\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mno_compare\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m\u001b[0m in \u001b[0;36mca\u001b[1;34m(self, collections, names)\u001b[0m\n\u001b[0;32m 163\u001b[0m \u001b[1;31m# df.loc[:,\"SUFFIX\"] = pd.Series(e, index=df.index)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 164\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mT\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 165\u001b[1;33m \u001b[0mcounts\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmca\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmca\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 166\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdimensions\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcounts\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mL\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 167\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdimensions\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m/home/ryandeschamps/anaconda3/lib/python3.5/site-packages/mca.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, DF, cols, ncols, benzecri, TOL)\u001b[0m\n\u001b[0;32m 50\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 51\u001b[0m \u001b[1;31m# another option, not pursued here, is sklearn.decomposition.TruncatedSVD\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 52\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mP\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mQ\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mscipy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlinalg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msvd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_mul\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mD_r\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mZ_c\u001b[0m\u001b[1;33m,\u001b[0m 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"\u001b[1;32m/home/ryandeschamps/anaconda3/lib/python3.5/site-packages/numpy/lib/function_base.py\u001b[0m in \u001b[0;36masarray_chkfinite\u001b[1;34m(a, dtype, order)\u001b[0m\n\u001b[0;32m 666\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchar\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mtypecodes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'AllFloat'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;32mand\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0misfinite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 667\u001b[0m raise ValueError(\n\u001b[1;32m--> 668\u001b[1;33m \"array must not contain infs or NaNs\")\n\u001b[0m\u001b[0;32m 669\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 670\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mValueError\u001b[0m: array must not contain infs or NaNs" ] } ], + "source": [ + "# With more than three collections, the output switches to correspondence analysis.\n", + "# Katherine Faust offers a great overview of the method here:\n", + "# www.socsci.uci.edu/~kfaust/faust/research/articles/articles.htm\n", + "\n", + "# In this case, we've eliminated a few items from the analysis.\n", + "\n", + "compare3 = Compare(collection, names, [i for i, x in enumerate(collection) if i not in [5,6,7,14,16,17,18,19,21,23,24]])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], "source": [ "\"\"\"\n", "Inertia is somewhat like an R-squared score for a correspondence graph. The overall inertia is only 40%, so quite low.\n", @@ -802,31 +665,11 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " lfrancopho canadian_b alberta_ed ottawa_sho \\\n", - "akamaihd.net True False False False \n", - "alberta.ca True False True False \n", - "albertahealthservices.ca True False True False \n", - "aljazeera.com True False False True \n", - "aljazeera.net True False False True \n", - "\n", - " alberta_fl canadian_p \n", - "akamaihd.net True True \n", - "alberta.ca True False \n", - "albertahealthservices.ca False False \n", - "aljazeera.com False False \n", - "aljazeera.net False False \n" - ] - } - ], + "outputs": [], "source": [ "# Compare.response stores the table that these scores are based on (I've selected only 5 items for clarity)\n", "#If REMOVE_SINGLES is not FALSE, then no row should contain fewer than two \"TRUES\".\n", @@ -836,21 +679,11 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPP-201508-locations.csv\n", - "CPP-201511-locations.csv\n", - "ELXN42-201601-locations.csv\n" - ] - } - ], + "outputs": [], "source": [ "\"\"\"\n", "Let's do the same thing with a different dataset:\n", @@ -897,67 +730,28 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": { "collapsed": false }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], + "source": [ + "\"\"\" This provides a graph that shows the dates (labels) in action by collection (shape/color). It is also possible to show the \n", + "collections by date if desired.\n", + "\"\"\"\n", + "\n", + "compare4 = Compare(urls, index=[0,1,2,3], DIMENSIONS_OP=3)\n", + "#print(compare4.dimensions)\n", + "#print(compare4.response[0:10])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], "source": [ "loc_compare_1 = Compare(loc_collection)\n", "#print (\"Locations in all Three collections: \\n\\n\" + \", \".join(loc_compare_1.V3_ABC) + \"\\n ... \\n\")\n", @@ -968,44 +762,11 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "elxn42-all.txt\n", - "health_sciences_grey_literature-all.txt\n", - "canadian_business_grey_literature-all.txt\n", - "web_archive_general-all.txt\n", - "alberta_floods_2013-all.txt\n", - "heritage_community_foundation-all.txt\n", - "hcf_alberta_online_encyclopedia-all.txt\n", - "alberta_education_curriculum-all.txt\n", - "alberta_oil_sands-all.txt\n", - "humanities_computing-all.txt\n", - "idle_no_more-all-urls.txt\n", - "ottawa_shooting_october_2014-all.txt\n", - "energy_environment-all.txt\n", - "prarie_provinces-all.txt\n", - "canadian_political_parties.txt\n", - "lfrancophonie_de_louest_canadien-all.txt\n" - ] - }, - { - "data": { - "text/plain": [ - "' This produces something like this:\\n[ { (COLLECTION_NAME, DATE, URL)}] (the {} is to make it unique.)\\n\\n'" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "\"\"\" \n", "Now let\\'s try to use the dates in our analysis. This brings up the power a little to use multiple correspondence \n", @@ -1044,203 +805,7 @@ "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "test results for more than three\n", - "['ONE', 'TWO', 'THREE', 'FOUR', 'FIVE', 'SIX']\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/ryandeschamps/anaconda3/lib/python3.5/site-packages/mpld3/mplexporter/exporter.py:82: UserWarning: Blended transforms not yet supported. Zoom behavior may not work as expected.\n", - " warnings.warn(\"Blended transforms not yet supported. \"\n" - ] - }, - { - "data": { - "image/png": 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