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   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Lab 9 - Graphs & Networks\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "In this lab we will do the following:\n",
      "\n",
      "0. Get a LinkedIn API key\n",
      "1. Use oauth2 to get an acceess token\n",
      "2. First we are going to download our own LinkedIn data using the LinkedIn API. \n",
      "3. Then we are exporting this data as a csv file to be able to import it into Gephi. \n",
      "4. Before starting Gephi we will do some network analysis directly in python\n",
      "5. We will analyze our data with the external tool Gephi\n",
      "\n",
      "You can download this notebook from [here](https://raw.github.com/cs109/content/master/labs/lab9/lab_9.ipynb)."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### 0. Install oauth2 package"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!pip install oauth2\n",
      "!pip install unidecode"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Requirement already satisfied (use --upgrade to upgrade): oauth2 in c:\\anaconda\\lib\\site-packages\n",
        "Requirement already satisfied (use --upgrade to upgrade): httplib2 in c:\\anaconda\\lib\\site-packages (from oauth2)\n",
        "Cleaning up...\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Requirement already satisfied (use --upgrade to upgrade): unidecode in c:\\anaconda\\lib\\site-packages\n",
        "Cleaning up...\n"
       ]
      }
     ],
     "prompt_number": 87
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "from collections import defaultdict\n",
      "import json\n",
      "\n",
      "import numpy as np\n",
      "import scipy as sp\n",
      "import matplotlib.pyplot as plt\n",
      "import pandas as pd\n",
      "\n",
      "from matplotlib import rcParams\n",
      "import matplotlib.cm as cm\n",
      "import matplotlib as mpl\n",
      "\n",
      "#colorbrewer2 Dark2 qualitative color table\n",
      "dark2_colors = [(0.10588235294117647, 0.6196078431372549, 0.4666666666666667),\n",
      "                (0.8509803921568627, 0.37254901960784315, 0.00784313725490196),\n",
      "                (0.4588235294117647, 0.4392156862745098, 0.7019607843137254),\n",
      "                (0.9058823529411765, 0.1607843137254902, 0.5411764705882353),\n",
      "                (0.4, 0.6509803921568628, 0.11764705882352941),\n",
      "                (0.9019607843137255, 0.6705882352941176, 0.00784313725490196),\n",
      "                (0.6509803921568628, 0.4627450980392157, 0.11372549019607843)]\n",
      "\n",
      "rcParams['figure.figsize'] = (10, 6)\n",
      "rcParams['figure.dpi'] = 150\n",
      "rcParams['axes.color_cycle'] = dark2_colors\n",
      "rcParams['lines.linewidth'] = 2\n",
      "rcParams['axes.facecolor'] = 'white'\n",
      "rcParams['font.size'] = 14\n",
      "rcParams['patch.edgecolor'] = 'white'\n",
      "rcParams['patch.facecolor'] = dark2_colors[0]\n",
      "rcParams['font.family'] = 'StixGeneral'\n",
      "\n",
      "\n",
      "def remove_border(axes=None, top=False, right=False, left=True, bottom=True):\n",
      "    \"\"\"\n",
      "    Minimize chartjunk by stripping out unnecesasry plot borders and axis ticks\n",
      "    \n",
      "    The top/right/left/bottom keywords toggle whether the corresponding plot border is drawn\n",
      "    \"\"\"\n",
      "    ax = axes or plt.gca()\n",
      "    ax.spines['top'].set_visible(top)\n",
      "    ax.spines['right'].set_visible(right)\n",
      "    ax.spines['left'].set_visible(left)\n",
      "    ax.spines['bottom'].set_visible(bottom)\n",
      "    \n",
      "    #turn off all ticks\n",
      "    ax.yaxis.set_ticks_position('none')\n",
      "    ax.xaxis.set_ticks_position('none')\n",
      "    \n",
      "    #now re-enable visibles\n",
      "    if top:\n",
      "        ax.xaxis.tick_top()\n",
      "    if bottom:\n",
      "        ax.xaxis.tick_bottom()\n",
      "    if left:\n",
      "        ax.yaxis.tick_left()\n",
      "    if right:\n",
      "        ax.yaxis.tick_right()\n",
      "        \n",
      "pd.set_option('display.width', 500)\n",
      "pd.set_option('display.max_columns', 100)\n",
      "\n",
      "    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### 1. Get API key\n",
      "\n",
      "Get a LinkedIn API key at http://developer.linkedin.com/documents/authentication (choose r_network)\n",
      "\n",
      "Save your authentication:\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Johanna\n",
      "\n",
      "#user_token = '6a516d33-786e-443c-b6e9-def654f88098'\n",
      "#user_secret = 'c03c49da-9dae-4b05-a2af-82e40426439f'\n",
      "\n",
      "#api_key = 'xpsswsigqw4r'\n",
      "#secret_key = 'aIRpJHhA8JHTRsyb'\n",
      "\n",
      "#Alex\n",
      "\n",
      "#api_key = 'g8lq60ilatfh'\n",
      "#secret_key = 'XEOmeklHWHtmwgoQ'\n",
      "\n",
      "#user_token = 'a8991ba6-9a27-40d7-ac6f-9280cc1dc650'\n",
      "#user_secret = '43a11017-c1f3-4c30-afab-43df3c39b938'\n",
      "\n",
      "#Nicolas\n",
      "\n",
      "user_token = 'd41f3e0c-6bb9-4db8-b324-25a723ff2f50'\n",
      "user_secret = 'fc66e892-6f92-4e15-b9a9-b0cccbec5336'\n",
      "\n",
      "api_key = 'kg7oy496e09a'\n",
      "secret_key = 'oLCLRNxVjt8ZY6OE'\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### 2. Get Access Token\n",
      "\n",
      "Next we are scraping our data using the LinkedIn API. (Code for using the LinkedIn API is taken and adjusted from http://dataiku.com/blog/2012/12/07/visualizing-your-linkedin-graph-using-gephi-part-1.html).\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import oauth2 as oauth\n",
      "import urlparse\n",
      "        \n",
      "def request_token(consumer):\n",
      "    client = oauth.Client(consumer)\n",
      "    request_token_url = 'https://api.linkedin.com/uas/oauth/requestToken?scope=r_network'\n",
      "    resp, content = client.request(request_token_url, \"POST\")\n",
      "    if resp['status'] != '200':\n",
      "        raise Exception(\"Invalid response %s.\" % resp['status'])\n",
      "    request_token = dict(urlparse.parse_qsl(content))\n",
      "    return request_token\n",
      "\n",
      "#consumer = oauth.Consumer(api_key, secret_key)\n",
      "#r_token = request_token(consumer)\n",
      "#print \"Request Token: oauth_token: %s, oauth_token_secret: %s\" % (r_token['oauth_token'], r_token['oauth_token_secret'])\n",
      " "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def authorize(request_token):\n",
      "    authorize_url ='https://api.linkedin.com/uas/oauth/authorize'\n",
      "    print \"Go to the following link in your browser:\"\n",
      "    print \"%s?oauth_token=%s\" % (authorize_url, request_token['oauth_token'])\n",
      "    print\n",
      "    accepted = 'n'\n",
      "    while accepted.lower() == 'n':\n",
      "        accepted = raw_input('Have you authorized me? (y/n) ')\n",
      "    oauth_verifier = raw_input('What is the PIN? ')\n",
      "    return oauth_verifier\n",
      "  \n",
      "#oauth_verifier = authorize(r_token)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def access(consumer, request_token, oauth_verifier):\n",
      "    access_token_url = 'https://api.linkedin.com/uas/oauth/accessToken'\n",
      "    token = oauth.Token(request_token['oauth_token'], request_token['oauth_token_secret'])\n",
      "    token.set_verifier(oauth_verifier)\n",
      "    client = oauth.Client(consumer, token)\n",
      "    resp, content = client.request(access_token_url, \"POST\")\n",
      "    access_token = dict(urlparse.parse_qsl(content))\n",
      "    return access_token\n",
      "          \n",
      "#a_token = access(consumer, r_token, oauth_verifier)\n",
      "#print a_token\n",
      "#print \"Access Token: oauth_token = %s, oauth_token_secret = %s\" % (a_token['oauth_token'], a_token['oauth_token_secret'])\n",
      "#print \"You may now access protected resources using the access tokens above.\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "consumer = oauth.Consumer(api_key, secret_key)\n",
      "\n",
      "r_token = request_token(consumer)\n",
      "print \"Request Token: oauth_token: %s, oauth_token_secret: %s\" % (r_token['oauth_token'], r_token['oauth_token_secret'])\n",
      "\n",
      "oauth_verifier = authorize(r_token)\n",
      "\n",
      "a_token = access(consumer, r_token, oauth_verifier)\n",
      "print a_token\n",
      "print \"Access Token: oauth_token = %s, oauth_token_secret = %s\" % (a_token['oauth_token'], a_token['oauth_token_secret'])\n",
      "print \"You may now access protected resources using the access tokens above.\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Request Token: oauth_token: 6c679f2c-b36a-4141-920c-344dfd03ac42, oauth_token_secret: 2ec1c351-9739-41d1-919b-f958eb25fc6d\n",
        "Go to the following link in your browser:\n",
        "https://api.linkedin.com/uas/oauth/authorize?oauth_token=6c679f2c-b36a-4141-920c-344dfd03ac42\n",
        "\n"
       ]
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Have you authorized me? (y/n) y\n"
       ]
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "What is the PIN? 77475\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "{'oauth_token_secret': 'e9b54fde-671d-4533-85f0-3a793a98e8ff', 'oauth_authorization_expires_in': '5183989', 'oauth_token': '22210cf8-aad5-4f2b-b9ee-4630a57d0074', 'oauth_expires_in': '5183989'}\n",
        "Access Token: oauth_token = 22210cf8-aad5-4f2b-b9ee-4630a57d0074, oauth_token_secret = e9b54fde-671d-4533-85f0-3a793a98e8ff\n",
        "You may now access protected resources using the access tokens above.\n"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### 3. Get data, clean it and store to disk"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import simplejson\n",
      "import codecs\n",
      " \n",
      "output_file = 'linkedIn_links.csv'\n",
      "my_name = 'Your Name'\n",
      " \n",
      "def linkedin_connections():\n",
      "    # Use your credentials to build the oauth client\n",
      "    consumer = oauth.Consumer(key=api_key, secret=secret_key)\n",
      "    token = oauth.Token(key=a_token['oauth_token'], secret=a_token['oauth_token_secret'])\n",
      "    client = oauth.Client(consumer, token)\n",
      "    \n",
      "    # Fetch first degree connections\n",
      "    resp, content = client.request('http://api.linkedin.com/v1/people/~/connections?format=json')\n",
      "    results = simplejson.loads(content)\n",
      "    \n",
      "    # File that will store the results\n",
      "    output = codecs.open(output_file, 'w', 'utf-8')\n",
      "    \n",
      "    # Loop through the 1st degree connection and see how they connect to each other\n",
      "    for result in results[\"values\"]:\n",
      "        con = \"%s %s\" % (result[\"firstName\"].replace(\",\", \" \"), result[\"lastName\"].replace(\",\", \" \"))\n",
      "        print >>output, \"%s,%s\" % (my_name, con)\n",
      "        # This is the trick, use the search API to get related connections\n",
      "        u = \"https://api.linkedin.com/v1/people/%s:(relation-to-viewer:(related-connections))?format=json\" % result[\"id\"]\n",
      "        resp, content = client.request(u)\n",
      "        rels = simplejson.loads(content)\n",
      "        try:\n",
      "            for rel in rels['relationToViewer']['relatedConnections']['values']:\n",
      "                sec = \"%s %s\" % (rel[\"firstName\"].replace(\",\", \" \"), rel[\"lastName\"].replace(\",\", \" \"))\n",
      "                print >>output, \"%s,%s\" % (con, sec)\n",
      "        except:\n",
      "            pass\n",
      "\n",
      "linkedin_connections()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "from operator import itemgetter\n",
      "from unidecode import unidecode\n",
      " \n",
      "clean_output_file = 'linkedIn_links_clean.csv'\n",
      " \n",
      "def stringify(chain):\n",
      "    # Simple utility to build the nodes labels\n",
      "    allowed = '0123456789abcdefghijklmnopqrstuvwxyz_'\n",
      "    c = unidecode(chain.strip().lower().replace(' ', '_'))\n",
      "    return ''.join([letter for letter in c if letter in allowed])\n",
      " \n",
      " \n",
      "def clean(f_input, f_output):\n",
      "    output = open(f_output, 'w')\n",
      "    # Store the edges inside a set for dedup\n",
      "    edges = set()\n",
      "    for line in codecs.open(f_input, 'r', 'utf-8'):\n",
      "        from_person, to_person = line.strip().split(',')\n",
      "        _f = stringify(from_person)\n",
      "        _t = stringify(to_person)\n",
      "        # Reorder the edge tuple\n",
      "        _e = tuple(sorted((_f, _t), key=itemgetter(0, 1)))\n",
      "        edges.add(_e)\n",
      "    for edge in edges:\n",
      "        print >>output, '%s,%s' % (edge[0], edge[1])\n",
      " \n",
      "clean(output_file, clean_output_file)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "When you have run these cells you have a 'linkedIn_links_clean.csv' file in the directory of your notebook, that is compatible with gephi. **If you don't have a LinkedIn account or think your network is boring you can use one of ours which you can get [here](https://raw.github.com/cs109/content/master/labs/lab9/linkedin_alexander_lex.csv).**\n",
      "\n",
      "## 4. Network Analysis with Gephi\n",
      "\n",
      "### Installation\n",
      "\n",
      "Gephi requires Java to run, at least a JRE of version 6. To check if you have java installed, open a console and run\n",
      "\n",
      "```\n",
      "$ java -version\n",
      "java version \"1.7.0_25\"\n",
      "OpenJDK Runtime Environment (IcedTea 2.3.12) (7u25-2.3.12-4ubuntu3)\n",
      "OpenJDK 64-Bit Server VM (build 23.7-b01, mixed mode)\n",
      "```\n",
      "\n",
      "If you don't have java or only an outdated version, go [here](http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html) to download it.\n",
      "\n",
      "To install gephi, [download](http://gephi.org/users/download/) it and follow these [installation instructions](http://gephi.org/users/install/).\n",
      "\n",
      "### Analysis\n",
      "\n",
      "The analysis with a GUI based tool is hard to convey in an IPython Notebook ;). If you don't want to watch the video, here is the [Gephi Quick Start guide](http://gephi.org/users/quick-start/). \n",
      "\n",
      "Here are the things we are doing:\n",
      "\n",
      "  * Applying a force directed layout with increased repulsion strength\n",
      "  * Remove yourself, explore shortest paths between partners\n",
      "  * Run force-directed again\n",
      "  * Calculating a PageRank \n",
      "  * Color nodes by PageRank\n",
      "  * Trying a couple of other statistics\n",
      "  * Size by PageRank\n",
      "  * Filter by Topology, Degree\n",
      "  * \"Cluster\" by running Modularity. Try different parameters. \n",
      "  * Highlight via \"Partition\"\n",
      " \n",
      " \n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Page Rank\n",
      "\n",
      "## Method\n",
      "\n",
      "We'll show during this lab that the PageRank basically amounts to computing the largest eigen vector of a stochastic matrix, which can be done via the power iteration method.\n",
      "\n",
      "Now, code it on your LinkedIn network!"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import csv\n",
      "from collections import defaultdict\n",
      "\n",
      "pairlist=[]\n",
      "connections=defaultdict(list)\n",
      "userset=set()\n",
      "\n",
      "with open('linkedIn_links_clean.csv', 'rb') as csvfile:\n",
      "    allrows = csv.reader(csvfile, delimiter=',')\n",
      "    for row in allrows:\n",
      "#        if ((row[0]=='your_name') | (row[1]=='your_name')): continue   # exclude yourself ?\n",
      "        pairlist.append((row[0], row[1]))\n",
      "        connections[row[0]].append(row[1])\n",
      "        connections[row[1]].append(row[0])\n",
      "        userset.add(row[0])\n",
      "        userset.add(row[1])\n",
      "        \n",
      "## Actual algorithm starts here        \n",
      "        \n",
      "## display the pagerank\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\n",
      "## and now, with NetworkX !\n",
      "\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import networkx as nx\n",
      "import matplotlib.pyplot as plt\n",
      "import matplotlib\n",
      "import math\n",
      "\n",
      "g = nx.Graph()\n",
      "\n",
      "remove_me = False\n",
      "\n",
      "for user in userset:\n",
      "    if remove_me & (user=='your_name'): continue\n",
      "    g.add_node(user)\n",
      " \n",
      "for user in userset:   \n",
      "    if remove_me & (user=='your_name'): continue\n",
      "    nconnec = 0\n",
      "    for connection in connections[user]:\n",
      "        if remove_me & (connection=='your_name'): continue\n",
      "        g.add_edge(user, connection, weight = 1)\n",
      "        nconnec+=1\n",
      "    if remove_me & (nconnec==0):\n",
      "        g.remove_node(user)\n",
      "    \n",
      "        \n",
      "pagerank_nx = nx.pagerank_scipy(g)        \n",
      "        \n",
      "color = [(min(pagerank_nx[n]*30.,1),min(pagerank_nx[n]*30.,1), min(pagerank_nx[n]*30.,1)) for n in pagerank_nx]\n",
      "pos = nx.spring_layout(g,  iterations=100)\n",
      "nx.draw_networkx_edges(g, pos, width=1, alpha=0.4)\n",
      "nx.draw_networkx_nodes(g, pos, node_color=color, node_size=100, alpha=1, linewidths =0.5)\n",
      "#lbls = nx.draw_networkx_labels(g, pos) \n",
      "\n",
      "plt.show()\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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ikUiwt7cnICAAKyurHr/p/+53v+Ott97qMVHcy8uLkSNHAneSwKOjozl//jwu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\nNKJgM9wLMENDQ8ck9SIWi8nOzh7Vgg3uXcO2trZIpVKioqJQKBT/dBZ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5mcbGRhoaGmhq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UiIgIkpOTiYuLo7q6GqlUSlxcHF1dXVitVnFcUqlU2DX4WlkWi4ULL7yQ6OhooqKi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\nYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x826c438>"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# checks whether we have the same, or similar, pageranks\n",
      "sorted_pr = sorted(pagerank_nx.iteritems(), reverse=True, key=lambda (k,v): v)\n",
      "print sorted_pr[:10]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[('your_name', 0.09150666939924602), ('private_private', 0.024313132518953447), ('joaquim_jorge', 0.017076589118708827), ('sylvain_paris', 0.015784891188616052), ('bruno_levy', 0.013919912655348188), ('hanspeter_pfister', 0.013086705421394321), ('carsten_dachsbacher', 0.011960636727014962), ('george_drettakis', 0.010381639028622679), ('nicolas_holzschuch', 0.009624769481242655), ('adrien_bousseau', 0.009016059729843637)]\n"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "A few stats about your network:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# your number of connection\n",
      "print 'my degree is: ', g.degree('your_name'), '\\n'\n",
      "\n",
      "# diameter = maximum nb of edges between 2 nodes = always 2 in this case\n",
      "print 'the graph diameter is: ',nx.diameter(g), '\\n'\n",
      "\n",
      "#center : surprising ?\n",
      "print 'the center is: ',nx.center(g), '\\n'\n",
      "\n",
      "# number  of clique communities  of 5 nodes\n",
      "print 'there are ', len(list(nx.k_clique_communities(g, 5))),'clique communities\\n'\n",
      "\n",
      "\n",
      "# most influential ?\n",
      "print 'degree: ', g.degree(sorted_pr[2]),'\\n'\n",
      "\n",
      "print 'shortest path between Hanspeter and a friend', nx.shortest_path(g,source='hanspeter_pfister',target='etienne_corteel'),'\\n'\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "my degree is:  211 \n",
        "\n",
        "the graph diameter is:  "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2 \n",
        "\n",
        "the center is:  "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "['your_name'] \n",
        "\n",
        "there are  "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7 clique communities\n",
        "\n",
        "degree:  {'joaquim_jorge': 51} \n",
        "\n",
        "shortest path between Hanspeter and a friend ['hanspeter_pfister', 'your_name', 'etienne_corteel'] \n",
        "\n"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}