{
 "metadata": {
  "name": "9932_04_03"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Chapter 4, example 3\n",
      "====================\n",
      "\n",
      "In this example, we plot a histogram of the nodes degrees in the Facebook social graphs."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cd fbdata"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(bookmark:fbdata) -> chapter2\\data\\facebook\n",
        "chapter2\\data\\facebook\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import networkx as nx"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We open a `edge` file with a social graph."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "g = nx.read_edgelist('0.edges')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The `hist` function plots a histogram of an array of values."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "hist(g.degree().values(), bins=20);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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Ay1HkAGA5ihwALEeRA4DlKHIAsBxFDgCWo8gBwHIUOQBYjiIHAMtR5ABgOYocACxHkQOA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\nVmLA8lUAAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 4
    }
   ],
   "metadata": {}
  }
 ]
}