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diff --git a/README b/README
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+# The Descriptor Project
+
+The Descriptor project is a subset of WALK with the goal of describing
+the partnership's collective resources, providing some pathfinders to
+help the historians of the future interpret what is (and is not) going
+on in the data. This includes two main methods.
+
+## Descriptive historical analysis
+
+The goal of this section is to describe the collection in a more detailed
+way than previously. The reality is that many of the collections include
+vast amounts of data on a broad topic that includes resources that have
+gained and lost prominence over time. Further, sometimes a technical issue
+results in the loss of data that may influence analysis.
+
+## Network Analysis
+
+Social network analysis is a familiar way that researchers try to uncover
+trends in the dynamics of a web-system. Unfortunately, the networks for
+Web Archives can be so large as to limit the ability for valid interpretation
+of the data. We are going to attempt to provide some guidance using common
+filters and visualisation techniques to highlight some of the most important
+aspects of the networks.
+
+In addition to the analysis of the datasets, we are also looking to build
+methods for analyzing WARCbase outputs, that can later be included in the 
+walk-compare tool, which currently focusses on bivariate rather than 
+univariate analysis of networks..  
diff --git a/descriptor/.ipynb_checkpoints/Create_Graph-checkpoint.ipynb b/descriptor/.ipynb_checkpoints/Create_Graph-checkpoint.ipynb
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+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/descriptor/.ipynb_checkpoints/PopulateSeedsCPP-checkpoint.ipynb b/descriptor/.ipynb_checkpoints/PopulateSeedsCPP-checkpoint.ipynb
diff --git a/descriptor/.ipynb_checkpoints/create_graphs_in_R-checkpoint.ipynb b/descriptor/.ipynb_checkpoints/create_graphs_in_R-checkpoint.ipynb
@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/descriptor/Create_Graph.ipynb b/descriptor/Create_Graph.ipynb
@@ -0,0 +1,169 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Preparing Network Graphs and Descriptive Data\n",
+    "\n",
+    "This task involves a detailed social network analysis of your graphs. This process will include:\n",
+    "\n",
+    "- Inputting the network file into this notebook\n",
+    "- Saving the network as a standard .graphml file that can be used with Gephi and other tools\n",
+    "- Producing a set of descriptive data for the network itself.\n",
+    "- An attractive network graph, highlighting important trait or traits of the network."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ImportError",
+     "evalue": "No module named matplotlib",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-23-42bd9f3fb1d8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mu'matplotlib inline'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpylab\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcairocffi\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mcairo\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0migraph\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mImportError\u001b[0m: No module named matplotlib"
+     ]
+    }
+   ],
+   "source": [
+    "import matplotlib\n",
+    "%matplotlib inline\n",
+    "import pylab\n",
+    "import cairocffi as cairo\n",
+    "import igraph\n",
+    "print (cairo.Surface)\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "g = igraph.Graph.Full(3)\n",
+    "g.write(\"g.graphml\", \"graphml\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "x = igraph.plot(g)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['__class__',\n",
+       " '__delattr__',\n",
+       " '__dict__',\n",
+       " '__doc__',\n",
+       " '__format__',\n",
+       " '__getattribute__',\n",
+       " '__hash__',\n",
+       " '__init__',\n",
+       " '__module__',\n",
+       " '__new__',\n",
+       " '__reduce__',\n",
+       " '__reduce_ex__',\n",
+       " '__repr__',\n",
+       " '__setattr__',\n",
+       " '__sizeof__',\n",
+       " '__str__',\n",
+       " '__subclasshook__',\n",
+       " '__weakref__',\n",
+       " '_background',\n",
+       " '_ctx',\n",
+       " '_filename',\n",
+       " '_is_dirty',\n",
+       " '_need_tmpfile',\n",
+       " '_objects',\n",
+       " '_palette',\n",
+       " '_surface',\n",
+       " '_surface_was_created',\n",
+       " '_windows_hacks',\n",
+       " 'add',\n",
+       " 'background',\n",
+       " 'bbox',\n",
+       " 'bounding_box',\n",
+       " 'height',\n",
+       " 'mark_dirty',\n",
+       " 'redraw',\n",
+       " 'remove',\n",
+       " 'save',\n",
+       " 'show',\n",
+       " 'surface',\n",
+       " 'width']"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dir(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "x.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}