diff --git a/README.md b/README.md index dc6d1e5..a5af08a 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,5 @@ +[![Untangling Network Science](http://img.youtube.com/vi/GZJgPiuQgcw/hqdefault.jpg)](http://www.youtube.com/watch?v=GZJgPiuQgcw "Untangling Network Science") + # A First Course in Network Science **Edition:** 1 @@ -20,24 +22,12 @@ - Graduate ## Subject Areas -- network science -- complexity -- statistical physics -- social networks -- computer science -- information science -- brain science -- political science -- communication -- management -- mathematics -- health -- financial networks -- biological networks + +network science, complexity, statistical physics, social networks, computer science, information science, brain science, political science, communication, management, mathematics, health, financial networks, biological networks ## Abstract -Networks pervade all aspects of our lives: networks of friends, communication, computers, the Web, and transportation are examples we experience daily, while networks in our brain and cells determine our very survival. The network is a general yet powerful way to represent and study simple and complex relationships. Today, a basic understanding of network processes is required in job sectors from marketing to technology, from management to design, and from biology to the arts and humanities. This textbook is designed to introduces networks to a broad audience of undergraduate students from informatics, business, computer science and engineering, information science, biology, physics, statistics, and social sciences. After surveying networks in many areas, the book talks about the properties of social networks and the key role of hubs. Directed and weighted networks are discussed using the Web and the spread of information and misinformation in social media as case studies. The final chapters cover the more advanced topics of networks models, communities, and dynamics. No technical mathematical or programming background is required, making the book feasible for introductory courses at any level, including network literacy and programming literacy courses. However, the book includes optional technical sections for more advanced students. Programming tutorials, exercises, and datasets allow readers to gain and test their understanding through hands-on activities for building and analyzing networks. +Networks pervade all aspects of our lives: networks of friends, communication, computers, the Web, and transportation are examples we experience daily, while networks in our brain and cells determine our very survival. The network is a general yet powerful way to represent and study simple and complex relationships. Today, a basic understanding of network processes is required in job sectors from marketing to technology, from management to design, and from biology to the arts and humanities. This textbook is designed to introduce networks to a broad audience of undergraduate students from informatics, business, computer science and engineering, information science, biology, physics, statistics, and social sciences. After surveying networks in many areas, the book talks about the properties of social networks and the key role of hubs. Directed and weighted networks are discussed using the Web and the spread of information and misinformation in social media as case studies. The final chapters cover the more advanced topics of networks models, communities, and dynamics. No technical mathematical or programming background is required, making the book feasible for introductory courses at any level, including network literacy and programming literacy courses. However, the book includes optional technical sections for more advanced students. Programming tutorials, exercises, and datasets allow readers to gain and test their understanding through hands-on activities for building and analyzing networks. ## Reviews & Endorsements @@ -83,7 +73,7 @@ Networks pervade all aspects of our lives: networks of friends, communication, c - Chapter 3: Hubs ([Tutorial](https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience/blob/master/tutorials/Chapter%203%20Tutorial.ipynb)) -- Chapter 4: [Direction & Weights](https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience/blob/master/sample/chapters/chapter4.pdf) ([Tutorial](https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience/blob/master/tutorials/Chapter%204%20Tutorial.ipynb)) +- Chapter 4: [Direction & Weights](https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience/blob/master/sample/chapters/chapter4.pdf) ([Tutorial](https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience/blob/master/tutorials/Chapter%204%20Tutorial%20(Twitter%20API%20v2).ipynb)) - Chapter 5: Network Models ([Tutorial](https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience/blob/master/tutorials/Chapter%205%20Tutorial.ipynb)) diff --git a/tutorials/Chapter 2 Tutorial.ipynb b/tutorials/Chapter 2 Tutorial.ipynb index 0d69400..5bf83a3 100644 --- a/tutorials/Chapter 2 Tutorial.ipynb +++ b/tutorials/Chapter 2 Tutorial.ipynb @@ -239,7 +239,7 @@ "source": [ "G = nx.Graph()\n", "\n", - "G.add_cycle((1,2,3))\n", + "nx.add_cycle(G, (1,2,3))\n", "G.add_edge(4,5)\n", "\n", "nx.draw(G, with_labels=True)" diff --git a/tutorials/Chapter 3 Tutorial.ipynb b/tutorials/Chapter 3 Tutorial.ipynb index e5dcf27..53ba971 100644 --- a/tutorials/Chapter 3 Tutorial.ipynb +++ b/tutorials/Chapter 3 Tutorial.ipynb @@ -1,1187 +1,1363 @@ { - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "import networkx as nx" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Chapter 3\n", - "\n", - "Contents:\n", - "\n", - "1. [Finding hubs](#Finding-hubs)\n", - "2. [Centrality distributions](#Centrality-distributions)\n", - "3. [Testing robustness](#Testing-robustness)\n", - "\n", - "\n", - "## 1. Finding hubs\n", - "\n", - "Often when looking at a network, we want to find the most \"important\" nodes, for some definition of important. The most basic measure of centrality is the *degree*, or number of links attached to a node.\n", - "\n", - "Let's look at the Enron executive email graph:" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name: \n", - "Type: Graph\n", - "Number of nodes: 143\n", - "Number of edges: 623\n", - "Average degree: 8.7133\n" - ] - }, - { - "data": { - "image/png": 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HuDmaMRvo0aMH1q1bB41Gg2HDhmHWrFkAxD7jrKwsVKpUCU2bNsWePXuKPMeM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\nRGvXrqWwsDC6e/du9R/cX/mqbNw42qlUUukzz9AbajXdOHWqwf0VFBT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RDg7Adod7wowx\n1hxwxSyHxD1hxhhrDmJiHqwPbYqK2tEcgO2Sk9wNYIwx1kQVizDMnSvO+23oQiavotQs8OVoxhhr\nbjIyxFrQu3aJwbZqTemK9YTj4sT1hLkHbNc4CDPGWHN165ZYivLUKbEQh6enOA1p0iROwmomOAgz\nxhhjMuHELMYYY0wmHIQZY4wxmXAQZowxxmTCQZgxxhiTCQdhxhhjTCYchBljjDGZcBBmjDHGZMJB\nmDHGGJMJB2HGGGNMJhyEGWOMMZlwEGaMMcZkwkGYMcYYkwkHYcYYY0wmHIQZY4wxmXAQZowxxmTC\nQZgxxhiTCQdhxhhjTCYchBljjDGZcBBmjDHGZMJBmDHGGJMJB2HGGGNMJhyEGWOMMZlwEGaMMcZk\nwkGYMcYYkwkHYcYYY0wmHIQZY4wxmXAQZowxxmTCQZgxxhiTCQdhxhhjTCYchBljjDGZcBBmjDHG\nZMJBmDHGGJMJB2HGGGNMJhyEGWOMMZlwEGaMMcZkwkGYMcYYkwkHYcYYY0wmHIQZY4wxmfx/GY7P\nNyJKvc4AAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "G = nx.read_edgelist('../datasets/ia-enron-only/ia-enron-only.edges', nodetype=int)\n", - "print(nx.info(G))\n", - "nx.draw(G)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Caveat: by default, `nx.read_edgelist` assumes node names are strings\n", - "\n", - "Edge lists are a simple, plain text format for storing graphs. Since this simple file format doesn't contain information about data types, all node names are assumed to be strings by default. When the node names are given by integers, as they are in this example, we should specify the `nodetype=int` keyword argument to avoid confusion with the node names.\n", - "\n", - "\n", - "### Aside: the `max` function\n", - "\n", - "We're going to make use of Python's built-in `max` function in order to find the node with the highest degree. \n", - "\n", - "First, let us recall what the `max` function does. At its most basic, the `max` function returns the \"greatest\" item in a sequence:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "5" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "max([1,2,3,4,5])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "But the \"greatest\" item is not always obvious:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'grape'" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "max(['apple', 'grape', 'carrot'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Why is `grape` greater than the other options? Because the default sort for strings is lexicographical (basically alphabetical) order. If we don't want this default ordering, we can specify a *key* function, which tells Python how to compare the items:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'carrot'" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "max(['apple', 'grape', 'carrot'], key=len)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now `carrot` is the greatest element, because we're comparing the items by their length.\n", - "\n", - "### Finding the node with max degree\n", - "\n", - "We can apply the `max` function to get the maximum node according to some criterion. In our case, we want to compare the nodes by their degree:" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "105" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "highest_degree_node = max(G.nodes, key=G.degree)\n", - "highest_degree_node" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "42" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "G.degree(highest_degree_node)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "So we know that node `105` has 42 edges connected to it. Let's look at that calculation a little closer:\n", - "\n", - "```python\n", - "max(G.nodes, key=G.degree)\n", - "```\n", - "\n", - "We're telling the `max` function that we want the item from `G.nodes` that gives us the highest value when passed to the *key* function `G.degree`.\n", - "\n", - "This construction works because `G.degree` is a function. Some other measures of centrality such as betweenness generate all of the nodes' centrality values at once and return a `dict`. In this case, we need an extra step:" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "105" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "betweenness = nx.centrality.betweenness_centrality(G)\n", - "highest_betweenness_node = max(G.nodes, key=betweenness.get)\n", - "highest_betweenness_node" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.19400604344556296" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "betweenness[highest_betweenness_node]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that the following will throw an error:" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "'dict' object is not callable", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mG\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnodes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbetweenness\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m: 'dict' object is not callable" - ] - } - ], - "source": [ - "max(G.nodes, key=betweenness)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This is because we need to provide a function to the `key` argument, but `betweenness` is a dict. To get around this, we use the dict's `get` method." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2. Centrality distributions\n", - "\n", - "We've found the most central node in the network, but often we want to summarize information about the centrality of all nodes. For example, in addition to the maxmimum degree, we often want the mean and median degree in a network.\n", - "\n", - "The first step in summarizing this information is to get a sequence of all of the centrality values in the graph. We don't care about the node names anymore, we just want a sequence of numbers. We can start with the example of degree:" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "degree_sequence = [G.degree(n) for n in G.nodes]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To get the mean and median of this sequence, we can use Python's built-in `statistics` module:" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Mean degree: 8.713286713286713\n", - "Median degree: 8\n" - ] - } - ], - "source": [ - "import statistics\n", - "\n", - "print('Mean degree:', statistics.mean(degree_sequence))\n", - "print('Median degree:', statistics.median(degree_sequence))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For other measures of centrality, which are calculated for the whole network at once and return a dict, we can use the dict's `.values()`." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Mean betweenness: 0.013950388838012454\n", - "Median betweenness: 0.0037492834763570323\n" - ] - } - ], - "source": [ - "betweenness = nx.centrality.betweenness_centrality(G)\n", - "betweenness_sequence = list(betweenness.values())\n", - "\n", - "print('Mean betweenness:', statistics.mean(betweenness_sequence))\n", - "print('Median betweenness:', statistics.median(betweenness_sequence))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plotting the distribution\n", - "\n", - "We can graphically represent the sequence of centrality values by using a *histogram*. In its basic form, a histogram plots the degree values on the x-axis, and the number of nodes having that degree on the y-axis. To do this counting, we can make use of Python's `collections.Counter`." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Counter({1: 6,\n", - " 2: 16,\n", - " 3: 9,\n", - " 4: 11,\n", - " 5: 8,\n", - " 6: 7,\n", - " 7: 9,\n", - " 8: 6,\n", - " 9: 16,\n", - " 10: 9,\n", - " 11: 10,\n", - " 12: 5,\n", - " 13: 3,\n", - " 14: 6,\n", - " 15: 3,\n", - " 16: 5,\n", - " 17: 5,\n", - " 18: 3,\n", - " 19: 2,\n", - " 20: 1,\n", - " 23: 1,\n", - " 30: 1,\n", - " 42: 1})" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from collections import Counter\n", - "\n", - "degree_counts = Counter(degree_sequence)\n", - "degree_counts" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `Counter` object returned is like a dict, pairing the item counted with the number of times it showed up in the sequence.\n", - "\n", - "On this basic histogram plot, we want an x-value for every integer between the minimum and maximum degree in the sequence, inclusive. Note that `degree_counts.keys()` gives us every distinct value seen in the degree sequence. Also note that we need the +1 in the `range` below because we want to include the right endpoint." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "min_degree, max_degree = min(degree_counts.keys()), max(degree_counts.keys())\n", - "\n", - "plot_x = list(range(min_degree, max_degree + 1))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Our y-values are then the number of times we counted each x-value in the degree sequence. We can make use of the `.get` method with a default value in order to count 0 for degree values that don't show up in the sequence. For example, notice that 32 does not show up in `degree_counts` above, so `degree_counts.get(32, 0)` will give us 0." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "plot_y = [degree_counts.get(x, 0) for x in plot_x]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To do the plotting, we use Matplotlib's `pyplot` module." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.bar(plot_x, plot_y)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Histogram binning\n", - "\n", - "When there are more x-values than you can comfortably display, or when your centrality measure is not discrete, as in the case of betweenness centrality, we can make use of histogram \"binning.\" This just defines a sequence of disjoint intervals called *bins*, and counts the number of values that fall into each such bin. In the simplest of cases, we can just tell Pyplot's `hist` function how many bins we want and it will do the binning for us." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "counts, bins, patches = plt.hist(betweenness_sequence, bins=10)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can investigate the returned `bins` and `counts` if we want:" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0. , 0.0194006 , 0.03880121, 0.05820181, 0.07760242,\n", - " 0.09700302, 0.11640363, 0.13580423, 0.15520483, 0.17460544,\n", - " 0.19400604])" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "bins" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([115., 13., 6., 4., 3., 1., 0., 0., 0., 1.])" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "counts" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "From these, we can see that there are 115 values between 0 and 0.0194006, 13 values between 0.194006 and 0.3880121, etc." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 3. Testing robustness\n", - "\n", - "Another way to think about the relative \"importance\" of nodes in a network is to measure how much it would damage the network structure if particular nodes were to be removed. In real life, node removal might be a person moving away and out of a social network, someone changing jobs and being removed from an email network, internet routers being attacked/overloaded and going down, etc.\n", - "\n", - "Broadly, we consider two types of network damage: random failure and targeted attack. In a random failure, nodes are chosen randomly for removal. In a targeted attack, we will remove nodes based on some criterion, for example, removing nodes in decreasing order of their degree centrality.\n", - "\n", - "### Connected components\n", - "\n", - "In order to measure \"damage,\" we will measure the size of the network's largest connected component, sometimes called *core*. First we observe that `nx.connected_components` is a generator that provides the connected components one at a time, starting with the largest." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "nx.connected_components(G)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Since we often only want the core, or largest connected component, we can use the `next` function to get just the first item from the generator. Each component is provided as a set of node names:" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{1,\n", - " 2,\n", - " 3,\n", - " 4,\n", - " 5,\n", - " 6,\n", - " 7,\n", - " 8,\n", - " 9,\n", - " 10,\n", - " 11,\n", - " 12,\n", - " 13,\n", - " 14,\n", - " 15,\n", - " 16,\n", - " 17,\n", - " 18,\n", - " 19,\n", - " 20,\n", - " 21,\n", - " 22,\n", - " 23,\n", - " 24,\n", - " 25,\n", - " 26,\n", - " 27,\n", - " 28,\n", - " 29,\n", - " 30,\n", - " 31,\n", - " 32,\n", - " 33,\n", - " 34,\n", - " 35,\n", - " 36,\n", - " 37,\n", - " 38,\n", - " 39,\n", - " 40,\n", - " 41,\n", - " 42,\n", - " 43,\n", - " 44,\n", - " 45,\n", - " 46,\n", - " 47,\n", - " 48,\n", - " 49,\n", - " 50,\n", - " 51,\n", - " 52,\n", - " 53,\n", - " 54,\n", - " 55,\n", - " 56,\n", - " 57,\n", - " 58,\n", - " 59,\n", - " 60,\n", - " 61,\n", - " 62,\n", - " 63,\n", - " 64,\n", - " 65,\n", - " 66,\n", - " 67,\n", - " 68,\n", - " 69,\n", - " 70,\n", - " 71,\n", - " 72,\n", - " 73,\n", - " 74,\n", - " 75,\n", - " 76,\n", - " 77,\n", - " 78,\n", - " 79,\n", - " 80,\n", - " 81,\n", - " 82,\n", - " 83,\n", - " 84,\n", - " 85,\n", - " 86,\n", - " 87,\n", - " 88,\n", - " 89,\n", - " 90,\n", - " 91,\n", - " 92,\n", - " 93,\n", - " 94,\n", - " 95,\n", - " 96,\n", - " 97,\n", - " 98,\n", - " 99,\n", - " 100,\n", - " 101,\n", - " 102,\n", - " 103,\n", - " 104,\n", - " 105,\n", - " 106,\n", - " 107,\n", - " 108,\n", - " 109,\n", - " 110,\n", - " 111,\n", - " 112,\n", - " 113,\n", - " 114,\n", - " 115,\n", - " 116,\n", - " 117,\n", - " 118,\n", - " 119,\n", - " 120,\n", - " 121,\n", - " 122,\n", - " 123,\n", - " 124,\n", - " 125,\n", - " 126,\n", - " 127,\n", - " 128,\n", - " 129,\n", - " 130,\n", - " 131,\n", - " 132,\n", - " 133,\n", - " 134,\n", - " 135,\n", - " 136,\n", - " 137,\n", - " 138,\n", - " 139,\n", - " 140,\n", - " 141,\n", - " 142,\n", - " 143}" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "core = next(nx.connected_components(G))\n", - "core" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "So the `len` of this set gives us the number of nodes in this component:" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "143" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(core)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If we want all of the connected components, we can get a list of them:" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "components = list(nx.connected_components(G))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "the length of this list is the number of connected components:" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(components)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Random failure\n", - "\n", - "Whenever we're going to engage in a distructive process, we want to make a copy of the network graph to attack so that we can easily get back to the original state:" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "C = G.copy()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To simulate random failure, we randomly choose some node names and remove them from the graph. We can use `random.sample` to remove more than one node at at time. Note that we need to make a `list` of node names from which to randomly sample:" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "import random\n", - "\n", - "nodes_to_remove = random.sample(list(C.nodes), 2)\n", - "C.remove_nodes_from(nodes_to_remove)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The full simulation is going to work like this, beginning from a fresh copy of the network:\n", - "\n", - "1. Measure size of the network core as compared to the original network size\n", - "2. Select M nodes at random and remove them\n", - "3. Repeat until there are less than M nodes\n", - "\n", - "We'll determine M from how many steps we want this process to take. Around 25 steps should be good, so:" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "5" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "number_of_steps = 25\n", - "M = G.number_of_nodes() // number_of_steps\n", - "M" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can then use `range` to generate a sequence of the total number of nodes removed at each step:" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "num_nodes_removed = range(0, G.number_of_nodes(), M)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The loop is fairly simple. At each step, we need to record the fraction of remaining nodes in the core." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "N = G.number_of_nodes()\n", - "C = G.copy()\n", - "random_attack_core_proportions = []\n", - "for nodes_removed in num_nodes_removed:\n", - " # Measure the relative size of the network core\n", - " core = next(nx.connected_components(C))\n", - " core_proportion = len(core) / N\n", - " random_attack_core_proportions.append(core_proportion)\n", - " \n", - " # If there are more than M nodes, select M nodes at random and remove them\n", - " if C.number_of_nodes() > M:\n", - " nodes_to_remove = random.sample(list(C.nodes), M)\n", - " C.remove_nodes_from(nodes_to_remove)" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - }, - { - 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8ycm8MHlRqkMSkQYWpfOaSJWu7Vry3EUHcsm/pvB/L01nwqzlTFtczJLijer9LNIERLpS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\nuPsKdy8FRgEHkb7nFxKfy7T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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.title('Random failure')\n", - "plt.xlabel('Number of nodes removed')\n", - "plt.ylabel('Proportion of nodes in core')\n", - "plt.plot(num_nodes_removed, random_attack_core_proportions, marker='o')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Targeted attack\n", - "\n", - "Simulating a targeted attack is similar, except that instead of choosing randomly, we will select the M most central nodes at each step. To accomplish this we want something like the `max` function used earler to get the most central node, but able to get the top M nodes. We can use Python's `sorted` function in a similar way to `max` to first sort the nodes by centrality in descending, or reverse, order. Once sorted by degree, we take the first M nodes in the list:" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[105, 17, 95, 48, 132]" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "nodes_sorted_by_degree = sorted(G.nodes, key=G.degree, reverse=True)\n", - "top_degree_nodes = nodes_sorted_by_degree[:M]\n", - "top_degree_nodes" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With that in mind, the loop looks similar. Let's put all the pieces together here:" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "N = G.number_of_nodes()\n", - "number_of_steps = 25\n", - "M = N // number_of_steps\n", - "\n", - "num_nodes_removed = range(0, N, M)\n", - "C = G.copy()\n", - "targeted_attack_core_proportions = []\n", - "for nodes_removed in num_nodes_removed:\n", - " # Measure the relative size of the network core\n", - " core = next(nx.connected_components(C))\n", - " core_proportion = len(core) / N\n", - " targeted_attack_core_proportions.append(core_proportion)\n", - " \n", - " # If there are more than M nodes, select top M nodes and remove them\n", - " if C.number_of_nodes() > M:\n", - " nodes_sorted_by_degree = sorted(C.nodes, key=C.degree, reverse=True)\n", - " nodes_to_remove = nodes_sorted_by_degree[:M]\n", - " C.remove_nodes_from(nodes_to_remove)" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "cells": [ + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true, + "id": "pzmGuLEmma-H" + }, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import networkx as nx" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CnHGKzjUma-I" + }, + "source": [ + "# Chapter 3\n", + "\n", + "Contents:\n", + "\n", + "1. [Finding hubs](#Finding-hubs)\n", + "2. [Centrality distributions](#Centrality-distributions)\n", + "3. [Testing robustness](#Testing-robustness)\n", + "\n", + "\n", + "## 1. Finding hubs\n", + "\n", + "Often when looking at a network, we want to find the most \"important\" nodes, for some definition of important. The most basic measure of centrality is the *degree*, or number of links attached to a node.\n", + "\n", + "Let's look at the Enron executive email graph:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "1VZMNcQRma-J", + "outputId": "08cd0b24-d62f-42d4-f8f6-1108eb6aa47c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Name: \n", + "Type: Graph\n", + "Number of nodes: 143\n", + "Number of edges: 623\n", + "Average degree: 8.7133\n" + ] + }, + { + "data": { + "image/png": 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HuDmaMRvo0aMH1q1bB41Gg2HDhmHWrFkAxD7jrKwsVKpUCU2bNsWePXuKPMeM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\nNyJKvc4AAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "G = nx.read_edgelist('../datasets/ia-enron-only/ia-enron-only.edges', nodetype=int)\n", + "print(nx.info(G))\n", + "nx.draw(G)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "YZiPzbyqma-K" + }, + "source": [ + "### Caveat: by default, `nx.read_edgelist` assumes node names are strings\n", + "\n", + "Edge lists are a simple, plain text format for storing graphs. Since this simple file format doesn't contain information about data types, all node names are assumed to be strings by default. When the node names are given by integers, as they are in this example, we should specify the `nodetype=int` keyword argument to avoid confusion with the node names.\n", + "\n", + "\n", + "### Aside: the `max` function\n", + "\n", + "We're going to make use of Python's built-in `max` function in order to find the node with the highest degree.\n", + "\n", + "First, let us recall what the `max` function does. At its most basic, the `max` function returns the \"greatest\" item in a sequence:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "EepLnU4yma-K", + "outputId": "f8cfe29b-1e9a-44a0-da5a-268668355784" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "5" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "max([1,2,3,4,5])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Dh2KSuMVma-L" + }, + "source": [ + "But the \"greatest\" item is not always obvious:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "7QfwLPzdma-L", + "outputId": "227520c6-2fd6-475a-e15e-4ca78ec46ac6" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'grape'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "max(['apple', 'grape', 'carrot'])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5K-eyRx8ma-L" + }, + "source": [ + "Why is `grape` greater than the other options? Because the default sort for strings is lexicographical (basically alphabetical) order. If we don't want this default ordering, we can specify a *key* function, which tells Python how to compare the items:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "4Ln9-fBpma-L", + "outputId": "b18dab41-3e73-49ab-812e-a5356a20e453" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'carrot'" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "max(['apple', 'grape', 'carrot'], key=len)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "F-CYIu9Uma-M" + }, + "source": [ + "Now `carrot` is the greatest element, because we're comparing the items by their length.\n", + "\n", + "### Finding the node with max degree\n", + "\n", + "We can apply the `max` function to get the maximum node according to some criterion. In our case, we want to compare the nodes by their degree:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "u8qFC_vOma-M", + "outputId": "2b91686b-c909-475e-aa5a-967e0ca985d1" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "105" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "highest_degree_node = max(G.nodes, key=G.degree)\n", + "highest_degree_node" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "dgWTbg0Hma-M", + "outputId": "6d71905a-07ae-4eee-d12f-68c0f287630e" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "42" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "G.degree(highest_degree_node)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "tI3y7A7Jma-M" + }, + "source": [ + "So we know that node `105` has 42 edges connected to it. Let's look at that calculation a little closer:\n", + "\n", + "```python\n", + "max(G.nodes, key=G.degree)\n", + "```\n", + "\n", + "We're telling the `max` function that we want the item from `G.nodes` that gives us the highest value when passed to the *key* function `G.degree`.\n", + "\n", + "This construction works because `G.degree` is a function. Some other measures of centrality such as betweenness generate all of the nodes' centrality values at once and return a `dict`. In this case, we need an extra step:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "TSTYxt5Zma-N", + "outputId": "1ea48f60-23b6-4e46-c736-a411c1a9ef7a" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "105" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "betweenness = nx.centrality.betweenness_centrality(G)\n", + "highest_betweenness_node = max(G.nodes, key=betweenness.get)\n", + "highest_betweenness_node" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Sgoj0hCnma-N", + "outputId": "18d23d64-edbf-4bbe-a4fe-0a7aa2945e7a" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.19400604344556296" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "betweenness[highest_betweenness_node]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3l_IhclKma-N" + }, + "source": [ + "Note that the following will throw an error:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "G4a1Nodvma-N", + "outputId": "d9ff1599-aa23-43ff-9a08-5381c9610458" + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'dict' object is not callable", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mG\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnodes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbetweenness\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m: 'dict' object is not callable" + ] + } + ], + "source": [ + "max(G.nodes, key=betweenness)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "X-6dlFM8ma-N" + }, + "source": [ + "This is because we need to provide a function to the `key` argument, but `betweenness` is a dict. To get around this, we use the dict's `get` method." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "24Bml49Oma-O" + }, + "source": [ + "## 2. Centrality distributions\n", + "\n", + "We've found the most central node in the network, but often we want to summarize information about the centrality of all nodes. For example, in addition to the maxmimum degree, we often want the mean and median degree in a network.\n", + "\n", + "The first step in summarizing this information is to get a sequence of all of the centrality values in the graph. We don't care about the node names anymore, we just want a sequence of numbers. We can start with the example of degree:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "b1vJ7DMBma-O" + }, + "outputs": [], + "source": [ + "degree_sequence = [G.degree(n) for n in G.nodes]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "PBQkgtu6ma-O" + }, + "source": [ + "To get the mean and median of this sequence, we can use Python's built-in `statistics` module:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "WCxsSnIvma-O", + "outputId": "f346d60f-a9c1-4527-a3bb-1a1356842d0e" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean degree: 8.713286713286713\n", + "Median degree: 8\n" + ] + } + ], + "source": [ + "import statistics\n", + "\n", + "print('Mean degree:', statistics.mean(degree_sequence))\n", + "print('Median degree:', statistics.median(degree_sequence))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "sZRmdbLSma-P" + }, + "source": [ + "For other measures of centrality, which are calculated for the whole network at once and return a dict, we can use the dict's `.values()`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "mZmSk4d9ma-P", + "outputId": "e95dd8a0-f8bd-4269-a451-4bcdaf89cd85" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean betweenness: 0.013950388838012454\n", + "Median betweenness: 0.0037492834763570323\n" + ] + } + ], + "source": [ + "betweenness = nx.centrality.betweenness_centrality(G)\n", + "betweenness_sequence = list(betweenness.values())\n", + "\n", + "print('Mean betweenness:', statistics.mean(betweenness_sequence))\n", + "print('Median betweenness:', statistics.median(betweenness_sequence))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "JjKU9vpema-P" + }, + "source": [ + "### Plotting the distribution\n", + "\n", + "We can graphically represent the sequence of centrality values by using a *histogram*. In its basic form, a histogram plots the degree values on the x-axis, and the number of nodes having that degree on the y-axis. To do this counting, we can make use of Python's `collections.Counter`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "mWd1P2aama-P", + "outputId": "90871214-1ba7-4ab3-9f3a-30b1de689ea9" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Counter({1: 6,\n", + " 2: 16,\n", + " 3: 9,\n", + " 4: 11,\n", + " 5: 8,\n", + " 6: 7,\n", + " 7: 9,\n", + " 8: 6,\n", + " 9: 16,\n", + " 10: 9,\n", + " 11: 10,\n", + " 12: 5,\n", + " 13: 3,\n", + " 14: 6,\n", + " 15: 3,\n", + " 16: 5,\n", + " 17: 5,\n", + " 18: 3,\n", + " 19: 2,\n", + " 20: 1,\n", + " 23: 1,\n", + " 30: 1,\n", + " 42: 1})" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from collections import Counter\n", + "\n", + "degree_counts = Counter(degree_sequence)\n", + "degree_counts" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "XXS8abupma-P" + }, + "source": [ + "The `Counter` object returned is like a dict, pairing the item counted with the number of times it showed up in the sequence.\n", + "\n", + "On this basic histogram plot, we want an x-value for every integer between the minimum and maximum degree in the sequence, inclusive. Note that `degree_counts.keys()` gives us every distinct value seen in the degree sequence. Also note that we need the +1 in the `range` below because we want to include the right endpoint." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "WPR3Kkurma-Q" + }, + "outputs": [], + "source": [ + "min_degree, max_degree = min(degree_counts.keys()), max(degree_counts.keys())\n", + "\n", + "plot_x = list(range(min_degree, max_degree + 1))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "s_Hqo9w6ma-Q" + }, + "source": [ + "Our y-values are then the number of times we counted each x-value in the degree sequence. We can make use of the `.get` method with a default value in order to count 0 for degree values that don't show up in the sequence. For example, notice that 32 does not show up in `degree_counts` above, so `degree_counts.get(32, 0)` will give us 0." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "N5P5lgAQma-Q" + }, + "outputs": [], + "source": [ + "plot_y = [degree_counts.get(x, 0) for x in plot_x]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "F6QkMzypma-Q" + }, + "source": [ + "To do the plotting, we use Matplotlib's `pyplot` module." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "sQ2ZUurPma-Q", + "outputId": "014e9315-3102-4b9b-8fef-3f37e2e02a29" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.bar(plot_x, plot_y)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ndd_jPPSma-Q" + }, + "source": [ + "### Histogram binning\n", + "\n", + "When there are more x-values than you can comfortably display, or when your centrality measure is not discrete, as in the case of betweenness centrality, we can make use of histogram \"binning.\" This just defines a sequence of disjoint intervals called *bins*, and counts the number of values that fall into each such bin. In the simplest of cases, we can just tell Pyplot's `hist` function how many bins we want and it will do the binning for us." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "bYumXlwYma-Q", + "outputId": "113458e9-ceca-44cb-988e-76fcaab2b9b9" + }, + "outputs": [ + { + "data": { + "image/png": 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28F/K10L8rE9VPQp8D3jGbtbt66smxqlt2BuBG6vqkaG2j3f/jPyzES8PjFvboUluTPIf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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "counts, bins, patches = plt.hist(betweenness_sequence, bins=10)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "S9BBHLsNma-R" + }, + "source": [ + "We can investigate the returned `bins` and `counts` if we want:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "NWCORGnAma-R", + "outputId": "ef671d48-cb08-466e-a0b5-ccb2c34518da" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0. , 0.0194006 , 0.03880121, 0.05820181, 0.07760242,\n", + " 0.09700302, 0.11640363, 0.13580423, 0.15520483, 0.17460544,\n", + " 0.19400604])" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bins" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "cEQRo2jVma-R", + "outputId": "34dddc68-8ef5-48b5-f680-e75fab053932" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([115., 13., 6., 4., 3., 1., 0., 0., 0., 1.])" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "counts" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "un_TU91Gma-R" + }, + "source": [ + "From these, we can see that there are 115 values between 0 and 0.0194006, 13 values between 0.194006 and 0.3880121, etc." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0Z3ctxyRma-R" + }, + "source": [ + "## 3. Testing robustness\n", + "\n", + "Another way to think about the relative \"importance\" of nodes in a network is to measure how much it would damage the network structure if particular nodes were to be removed. In real life, node removal might be a person moving away and out of a social network, someone changing jobs and being removed from an email network, internet routers being attacked/overloaded and going down, etc.\n", + "\n", + "Broadly, we consider two types of network damage: random failure and targeted attack. In a random failure, nodes are chosen randomly for removal. In a targeted attack, we will remove nodes based on some criterion, for example, removing nodes in decreasing order of their degree centrality.\n", + "\n", + "### Connected components\n", + "\n", + "In order to measure \"damage,\" we will measure the size of the network's largest connected component, sometimes called *core*. First we observe that `nx.connected_components` is a generator that provides the connected components one at a time." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "pUa1k7J_ma-S", + "outputId": "3e373be5-5e26-4cd8-d221-2281233f7e08" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nx.connected_components(G)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0LMExnqCma-S" + }, + "source": [ + "Since we often only want the core, or largest connected component, we can use the `max` function to get it. Each component is provided as a set of node names:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "QXHjn9KIma-S", + "outputId": "e793d73d-e2f4-437d-f020-5273e2661b9b" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{1,\n", + " 2,\n", + " 3,\n", + " 4,\n", + " 5,\n", + " 6,\n", + " 7,\n", + " 8,\n", + " 9,\n", + " 10,\n", + " 11,\n", + " 12,\n", + " 13,\n", + " 14,\n", + " 15,\n", + " 16,\n", + " 17,\n", + " 18,\n", + " 19,\n", + " 20,\n", + " 21,\n", + " 22,\n", + " 23,\n", + " 24,\n", + " 25,\n", + " 26,\n", + " 27,\n", + " 28,\n", + " 29,\n", + " 30,\n", + " 31,\n", + " 32,\n", + " 33,\n", + " 34,\n", + " 35,\n", + " 36,\n", + " 37,\n", + " 38,\n", + " 39,\n", + " 40,\n", + " 41,\n", + " 42,\n", + " 43,\n", + " 44,\n", + " 45,\n", + " 46,\n", + " 47,\n", + " 48,\n", + " 49,\n", + " 50,\n", + " 51,\n", + " 52,\n", + " 53,\n", + " 54,\n", + " 55,\n", + " 56,\n", + " 57,\n", + " 58,\n", + " 59,\n", + " 60,\n", + " 61,\n", + " 62,\n", + " 63,\n", + " 64,\n", + " 65,\n", + " 66,\n", + " 67,\n", + " 68,\n", + " 69,\n", + " 70,\n", + " 71,\n", + " 72,\n", + " 73,\n", + " 74,\n", + " 75,\n", + " 76,\n", + " 77,\n", + " 78,\n", + " 79,\n", + " 80,\n", + " 81,\n", + " 82,\n", + " 83,\n", + " 84,\n", + " 85,\n", + " 86,\n", + " 87,\n", + " 88,\n", + " 89,\n", + " 90,\n", + " 91,\n", + " 92,\n", + " 93,\n", + " 94,\n", + " 95,\n", + " 96,\n", + " 97,\n", + " 98,\n", + " 99,\n", + " 100,\n", + " 101,\n", + " 102,\n", + " 103,\n", + " 104,\n", + " 105,\n", + " 106,\n", + " 107,\n", + " 108,\n", + " 109,\n", + " 110,\n", + " 111,\n", + " 112,\n", + " 113,\n", + " 114,\n", + " 115,\n", + " 116,\n", + " 117,\n", + " 118,\n", + " 119,\n", + " 120,\n", + " 121,\n", + " 122,\n", + " 123,\n", + " 124,\n", + " 125,\n", + " 126,\n", + " 127,\n", + " 128,\n", + " 129,\n", + " 130,\n", + " 131,\n", + " 132,\n", + " 133,\n", + " 134,\n", + " 135,\n", + " 136,\n", + " 137,\n", + " 138,\n", + " 139,\n", + " 140,\n", + " 141,\n", + " 142,\n", + " 143}" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "core = max(nx.connected_components(G), key=len)\n", + "core" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "JIiH4wA-ma-S" + }, + "source": [ + "So the `len` of this set gives us the number of nodes in this component:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "up6kBZ0Nma-S", + "outputId": "c2b27ea3-7d29-49f5-d198-656683a29b5b" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "143" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(core)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bLM5ElxHma-T" + }, + "source": [ + "If we want all of the connected components, we can get a list of them:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Cf56-I_1ma-T" + }, + "outputs": [], + "source": [ + "components = list(nx.connected_components(G))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4PAXkh0Mma-T" + }, + "source": [ + "the length of this list is the number of connected components:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "VtNICl1uma-T", + "outputId": "df8be60e-8404-48e3-cd56-1ba3717552e8" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(components)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "YAdJbBL7ma-T" + }, + "source": [ + "### Random failure\n", + "\n", + "Whenever we're going to engage in a distructive process, we want to make a copy of the network graph to attack so that we can easily get back to the original state:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "jmck6aiyma-U" + }, + "outputs": [], + "source": [ + "C = G.copy()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "linpY0eDma-U" + }, + "source": [ + "To simulate random failure, we randomly choose some node names and remove them from the graph. We can use `random.sample` to remove more than one node at at time. Note that we need to make a `list` of node names from which to randomly sample:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "id": "YTIqVO-Oma-U" + }, + "outputs": [], + "source": [ + "import random\n", + "\n", + "nodes_to_remove = random.sample(list(C.nodes), 2)\n", + "C.remove_nodes_from(nodes_to_remove)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "O6Nv0EXuma-U" + }, + "source": [ + "The full simulation is going to work like this, beginning from a fresh copy of the network:\n", + "\n", + "1. Measure size of the network core as compared to the original network size\n", + "2. Select M nodes at random and remove them\n", + "3. Repeat until there are less than M nodes\n", + "\n", + "We'll determine M from how many steps we want this process to take. Around 25 steps should be good, so:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "gp3223CGma-U", + "outputId": "65d63661-137a-4d52-f074-3e6ad4d2358c" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "5" + ] + }, + "metadata": {}, + "execution_count": 4 + } + ], + "source": [ + "number_of_steps = 25\n", + "M = G.number_of_nodes() // number_of_steps\n", + "M" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2Xd_uc3Fma-V" + }, + "source": [ + "We can then use `range` to generate a sequence of the total number of nodes removed at each step:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "id": "vbGMyHWyma-V" + }, + "outputs": [], + "source": [ + "num_nodes_removed = range(0, G.number_of_nodes(), M)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "7X_69iusma-V" + }, + "source": [ + "The loop is fairly simple. At each step, we need to record the fraction of remaining nodes in the core." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "id": "O8Qz4Bt-ma-V" + }, + "outputs": [], + "source": [ + "N = G.number_of_nodes()\n", + "C = G.copy()\n", + "random_attack_core_proportions = []\n", + "for nodes_removed in num_nodes_removed:\n", + " # Measure the relative size of the network core\n", + " core = max(nx.connected_components(C), key=len)\n", + " core_proportion = len(core) / N\n", + " random_attack_core_proportions.append(core_proportion)\n", + "\n", + " # If there are more than M nodes, select M nodes at random and remove them\n", + " if C.number_of_nodes() > M:\n", + " nodes_to_remove = random.sample(list(C.nodes), M)\n", + " C.remove_nodes_from(nodes_to_remove)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 490 + }, + "id": "WTa2SAJLma-V", + "outputId": "76c78456-1699-4a8b-c508-c707dcfc90d9" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "[]" + ] + }, + "metadata": {}, + "execution_count": 11 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ], + "source": [ + "plt.title('Random failure')\n", + "plt.xlabel('Number of nodes removed')\n", + "plt.ylabel('Proportion of nodes in core')\n", + "plt.plot(num_nodes_removed, random_attack_core_proportions, marker='o')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "J0XYckXmma-W" + }, + "source": [ + "#### Targeted attack\n", + "\n", + "Simulating a targeted attack is similar, except that instead of choosing randomly, we will select the M most central nodes at each step. To accomplish this we want something like the `max` function used earler to get the most central node, but able to get the top M nodes. We can use Python's `sorted` function in a similar way to `max` to first sort the nodes by centrality in descending, or reverse, order. Once sorted by degree, we take the first M nodes in the list:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "5IdSSzDZma-W", + "outputId": "19cbb78f-2474-4a6a-a8f7-c40f73e64b73" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[105, 17, 95, 48, 132]" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nodes_sorted_by_degree = sorted(G.nodes, key=G.degree, reverse=True)\n", + "top_degree_nodes = nodes_sorted_by_degree[:M]\n", + "top_degree_nodes" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5Yy1V3JDma-b" + }, + "source": [ + "With that in mind, the loop looks similar. Let's put all the pieces together here:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "id": "5vfFtydKma-c" + }, + "outputs": [], + "source": [ + "N = G.number_of_nodes()\n", + "number_of_steps = 25\n", + "M = N // number_of_steps\n", + "\n", + "num_nodes_removed = range(0, N, M)\n", + "C = G.copy()\n", + "targeted_attack_core_proportions = []\n", + "for nodes_removed in num_nodes_removed:\n", + " # Measure the relative size of the network core\n", + " core = max(nx.connected_components(C), key=len)\n", + " core_proportion = len(core) / N\n", + " targeted_attack_core_proportions.append(core_proportion)\n", + "\n", + " # If there are more than M nodes, select top M nodes and remove them\n", + " if C.number_of_nodes() > M:\n", + " nodes_sorted_by_degree = sorted(C.nodes, key=C.degree, reverse=True)\n", + " nodes_to_remove = nodes_sorted_by_degree[:M]\n", + " C.remove_nodes_from(nodes_to_remove)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 490 + }, + "id": "g845huWama-c", + "outputId": "1a870d44-a9dc-440d-f6dc-e283ffb80657" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "[]" + ] + }, + "metadata": {}, + "execution_count": 13 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ], + "source": [ + "plt.title('Targeted attack')\n", + "plt.xlabel('Number of nodes removed')\n", + "plt.ylabel('Proportion of nodes in core')\n", + "plt.plot(num_nodes_removed, targeted_attack_core_proportions, marker='o')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "du4K7qmwma-c" + }, + "source": [ + "As we can see, the effect is dramatic. The network is totally disconnected after removing relatively few central nodes in the graph.\n", + "\n", + "Pyplot can plot these curves on the same plot for additional effect:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 490 + }, + "id": "5RbsI27lma-c", + "outputId": "2a1aeea6-0fed-4a18-d248-981f0451ac30" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 14 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ], + "source": [ + "plt.title('Random failure vs. targeted attack')\n", + "plt.xlabel('Number of nodes removed')\n", + "plt.ylabel('Proportion of nodes in core')\n", + "plt.plot(num_nodes_removed, random_attack_core_proportions, marker='o', label='Failures')\n", + "plt.plot(num_nodes_removed, targeted_attack_core_proportions, marker='^', label='Attacks')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "1q3PXGvQma-c" + }, + "outputs": [], + "source": [] } - ], - "source": [ - "plt.title('Targeted attack')\n", - "plt.xlabel('Number of nodes removed')\n", - "plt.ylabel('Proportion of nodes in core')\n", - "plt.plot(num_nodes_removed, targeted_attack_core_proportions, marker='o')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As we can see, the effect is dramatic. The network is totally disconnected after removing relatively few central nodes in the graph.\n", - "\n", - "Pyplot can plot these curves on the same plot for additional effect:" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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kICJJIpIeqWASXmo6oJCzK9aRxJ1QfRoE2LYnhzvHLmL7npzYBGaMKcLL2Efv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\nCla9WjJ/Oa0Vj32yPOT6cJX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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.3" + }, + "colab": { + "provenance": [] } - ], - "source": [ - "plt.title('Random failure vs. targeted attack')\n", - "plt.xlabel('Number of nodes removed')\n", - "plt.ylabel('Proportion of nodes in core')\n", - "plt.plot(num_nodes_removed, random_attack_core_proportions, marker='o', label='Failures')\n", - "plt.plot(num_nodes_removed, targeted_attack_core_proportions, marker='^', label='Attacks')\n", - "plt.legend()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.3" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/tutorials/Chapter 4 Tutorial.ipynb b/tutorials/Chapter 4 Tutorial (Twitter API v1).ipynb similarity index 100% rename from tutorials/Chapter 4 Tutorial.ipynb rename to tutorials/Chapter 4 Tutorial (Twitter API v1).ipynb diff --git a/tutorials/Chapter 4 Tutorial (Twitter API v2).ipynb b/tutorials/Chapter 4 Tutorial (Twitter API v2).ipynb new file mode 100644 index 0000000..e2461e2 --- /dev/null +++ b/tutorials/Chapter 4 Tutorial (Twitter API v2).ipynb @@ -0,0 +1,1265 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "F1xFIgvV0LXg" + }, + "source": [ + "# Chapter 4 Tutorial\n", + "\n", + "In this tutorial, we use Twitter data to create and explore directed networks of social interactions.\n", + "\n", + "This tutorial has been updated to use the Twitter API v2 instead of v1.\n", + "\n", + "Contents:\n", + "\n", + "1. Twitter API basics\n", + "2. Twitter Search API\n", + "3. Social Network Graphs\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "_6COdCRk0wSj" + }, + "source": [ + "# 1 Twitter API Basics\n", + "\n", + "In order to get Twitter data using their API, one must first have a Twitter app. This doesn't mean that we are creating an application to run on mobile or desktop computers. Creating a Twitter app requires access to Twitter's developer platform, which requires an application process with Twitter. \n", + "\n", + "Go to this [step-by-step guide](https://dev.to/suhemparack/a-guide-to-teaching-with-the-twitter-api-v2-3n08) and follow the instructions for **essential access** for students, unless you already have a developer account. \n", + "\n", + "Once you have access, you can create a project, set up the app, and generate keys and tokens." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "QMOXtezMa28P" + }, + "source": [ + "## 1.1 Authentication\n", + "\n", + "Twitter uses OAuth in order to allow third-party apps to access data on your behalf without requiring your Twitter login credentials -- note that none of the code in this notebook asks for your Twitter screen name or password.\n", + "\n", + "In this tutorial you will need a bearer token, which you can generate and copy from your Twitter [developer account page](https://developer.twitter.com/en/portal/petition/essential/basic-info). Look for something like this under keys and tokens for you app:\n", + "\n", + "![image.png](data:image/png;base64,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)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IRo_1sltmwo_" + }, + "source": [ + "## 1.2 Twarc2\n", + "\n", + "We are going to use [Twarc2](https://twarc-project.readthedocs.io/en/latest/twarc2_en_us/) for interacting with the Twitter API. Here is how you install it:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "aai2OmJ2DycU" + }, + "outputs": [], + "source": [ + "!pip install --upgrade twarc" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "iLYY353-nSly" + }, + "source": [ + "We will use two methods from this package:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "sbvPA4FYnRYb" + }, + "outputs": [], + "source": [ + "from twarc.client2 import Twarc2\n", + "from twarc.expansions import flatten" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "OBmU4t_Xncmx" + }, + "source": [ + "Here is how you create a new Twarc2 client instance using your bearer token (generate or regenerate the barer token from your app page, copy it, and paste it below):" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "0nvH2tEdsSA9" + }, + "outputs": [], + "source": [ + "# Do not share your bearer token with others!\n", + "bearer_token = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'\n", + "client = Twarc2(bearer_token=bearer_token)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "OBIOTAmtDycc" + }, + "source": [ + "## 1.3 User Objects\n", + "\n", + "The first type of data of which we will make use is the\n", + "[User Object](https://developer.twitter.com/en/docs/twitter-api/data-dictionary/object-model/user).\n", + "A user object actually contains all the information about the user:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "k50DSM13v0Rw" + }, + "outputs": [], + "source": [ + "# This is to make json objects easier to read\n", + "from pprint import pprint" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "KBfhi6H-Dycd", + "outputId": "c8ecf6bb-18f5-4c6a-850a-d73c4e205165", + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'__twarc': {'retrieved_at': '2022-11-02T22:30:30+00:00',\n", + " 'url': 'https://api.twitter.com/2/users/by?tweet.fields=attachments%2Cauthor_id%2Ccontext_annotations%2Cconversation_id%2Ccreated_at%2Centities%2Cgeo%2Cid%2Cin_reply_to_user_id%2Clang%2Cpublic_metrics%2Ctext%2Cpossibly_sensitive%2Creferenced_tweets%2Creply_settings%2Csource%2Cwithheld%2Cedit_controls&user.fields=created_at%2Cdescription%2Centities%2Cid%2Clocation%2Cname%2Cpinned_tweet_id%2Cprofile_image_url%2Cprotected%2Cpublic_metrics%2Curl%2Cusername%2Cverified%2Cwithheld&usernames=OSoMe_IU',\n", + " 'version': '2.12.0'},\n", + " 'created_at': '2010-09-06T13:31:27.000Z',\n", + " 'description': 'The Observatory on Social Media (awe•some) is a research '\n", + " 'center at Indiana University to study the spread of '\n", + " 'misinformation. Tweets by Fil Menczer & OSoMe Team',\n", + " 'entities': {'url': {'urls': [{'display_url': 'osome.iu.edu',\n", + " 'end': 23,\n", + " 'expanded_url': 'http://osome.iu.edu/',\n", + " 'start': 0,\n", + " 'url': 'https://t.co/mvagxYPopo'}]}},\n", + " 'id': '187521608',\n", + " 'location': 'Bloomington, IN',\n", + " 'name': 'OSoMe',\n", + " 'pinned_tweet': {},\n", + " 'pinned_tweet_id': '1176676441666347008',\n", + " 'profile_image_url': 'https://pbs.twimg.com/profile_images/1121762921/viewer_normal.png',\n", + " 'protected': False,\n", + " 'public_metrics': {'followers_count': 5465,\n", + " 'following_count': 489,\n", + " 'listed_count': 321,\n", + " 'tweet_count': 4286},\n", + " 'url': 'https://t.co/mvagxYPopo',\n", + " 'username': 'OSoMe_IU',\n", + " 'verified': False}\n" + ] + } + ], + "source": [ + "# User lookup takes a list of user IDs or handles and returns an iterator of search pages. Each search page has at most 100 results\n", + "search_pages = client.user_lookup(users=['OSoMe_IU'], usernames=True)\n", + "\n", + "# In our case we have a single page\n", + "page = list(search_pages)[0]\n", + "\n", + "# flatten() is a twarc2 function that converts a page of results into a list of consolidated json objects\n", + "# In our case the page contains a single user object\n", + "user = flatten(page)[0]\n", + "\n", + "pprint(user)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "pE6eDkGM05mN" + }, + "source": [ + "This dictionary of user data contains several items of note, and we can access them the way we typically access dictionary items:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "CIFOgx-GDycf" + }, + "outputs": [], + "source": [ + "username = user['username']\n", + "followers_count = user['public_metrics']['followers_count']\n", + "following_count = user ['public_metrics']['following_count']\n", + "tweet_count = user['public_metrics']['tweet_count']\n", + "\n", + "print(f\"Twitter user @{username} has {followers_count} followers, follows {following_count} users, and has tweeted {tweet_count} times.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "1rQnix33Dycj" + }, + "source": [ + "## 1.4 Tweet Objects\n", + "\n", + "The second type of data of which we will make use is the\n", + "[Tweet Object](https://developer.twitter.com/en/docs/twitter-api/data-dictionary/object-model/tweet).\n", + "Let us look at one of the most viral tweets of all time:\n", + "![image.png](data:image/png;base64,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)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "RDrfK5oZ09Rn" + }, + "source": [ + "Let us retrieve this tweet and look at its object. Notice that this is a more complex object. It also contains the user object of the author of the tweet. This is why the `flatten()` function is useful, as it consolidates all this data into a single json object:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "YdG4_COPDycj", + "outputId": "e59c83dc-ff48-4145-df27-8abc0ecd7662", + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'__twarc': {'retrieved_at': '2022-11-02T22:30:43+00:00',\n", + " 'url': 'https://api.twitter.com/2/tweets?expansions=author_id%2Cin_reply_to_user_id%2Creferenced_tweets.id%2Creferenced_tweets.id.author_id%2Centities.mentions.username%2Cattachments.poll_ids%2Cattachments.media_keys%2Cgeo.place_id%2Cedit_history_tweet_ids&tweet.fields=attachments%2Cauthor_id%2Ccontext_annotations%2Cconversation_id%2Ccreated_at%2Centities%2Cgeo%2Cid%2Cin_reply_to_user_id%2Clang%2Cpublic_metrics%2Ctext%2Cpossibly_sensitive%2Creferenced_tweets%2Creply_settings%2Csource%2Cwithheld%2Cedit_controls&user.fields=created_at%2Cdescription%2Centities%2Cid%2Clocation%2Cname%2Cpinned_tweet_id%2Cprofile_image_url%2Cprotected%2Cpublic_metrics%2Curl%2Cusername%2Cverified%2Cwithheld&media.fields=alt_text%2Cduration_ms%2Cheight%2Cmedia_key%2Cpreview_image_url%2Ctype%2Curl%2Cwidth%2Cpublic_metrics&poll.fields=duration_minutes%2Cend_datetime%2Cid%2Coptions%2Cvoting_status&place.fields=contained_within%2Ccountry%2Ccountry_code%2Cfull_name%2Cgeo%2Cid%2Cname%2Cplace_type&ids=440322224407314432%2C1176676441666347008',\n", + " 'version': '2.12.0'},\n", + " 'attachments': {'media': [{'height': 1080,\n", + " 'media_key': '3_440322224092745728',\n", + " 'type': 'photo',\n", + " 'url': 'https://pbs.twimg.com/media/BhxWutnCEAAtEQ6.jpg',\n", + " 'width': 1920}],\n", + " 'media_keys': ['3_440322224092745728']},\n", + " 'author': {'created_at': '2008-08-14T03:50:42.000Z',\n", + " 'description': 'Comedian, talk show host and ice road trucker. My '\n", + " 'tweets are real, and they’re spectacular. '\n", + " '@ellentube @theellenfund',\n", + " 'entities': {'description': {'mentions': [{'end': 102,\n", + " 'start': 92,\n", + " 'username': 'ellentube'},\n", + " {'end': 116,\n", + " 'start': 103,\n", + " 'username': 'theellenfund'}]},\n", + " 'url': {'urls': [{'display_url': 'ellentube.com/next',\n", + " 'end': 23,\n", + " 'expanded_url': 'https://www.ellentube.com/next',\n", + " 'start': 0,\n", + " 'url': 'https://t.co/66WOkBu2wQ'}]}},\n", + " 'id': '15846407',\n", + " 'location': 'California',\n", + " 'name': 'Ellen DeGeneres',\n", + " 'profile_image_url': 'https://pbs.twimg.com/profile_images/1478120772044574724/v-dDUYb7_normal.jpg',\n", + " 'protected': False,\n", + " 'public_metrics': {'followers_count': 77189951,\n", + " 'following_count': 26129,\n", + " 'listed_count': 95122,\n", + " 'tweet_count': 24308},\n", + " 'url': 'https://t.co/66WOkBu2wQ',\n", + " 'username': 'TheEllenShow',\n", + " 'verified': True},\n", + " 'author_id': '15846407',\n", + " 'conversation_id': '440322224407314432',\n", + " 'created_at': '2014-03-03T03:06:13.000Z',\n", + " 'edit_controls': {'editable_until': '2014-03-03T03:36:13.000Z',\n", + " 'edits_remaining': 5,\n", + " 'is_edit_eligible': True},\n", + " 'edit_history_tweet_ids': ['440322224407314432'],\n", + " 'entities': {'annotations': [{'end': 14,\n", + " 'normalized_text': 'Bradley',\n", + " 'probability': 0.7889,\n", + " 'start': 8,\n", + " 'type': 'Person'},\n", + " {'end': 57,\n", + " 'normalized_text': 'oscars',\n", + " 'probability': 0.7828,\n", + " 'start': 52,\n", + " 'type': 'Other'}],\n", + " 'hashtags': [{'end': 58, 'start': 51, 'tag': 'oscars'}],\n", + " 'urls': [{'display_url': 'pic.twitter.com/C9U5NOtGap',\n", + " 'end': 81,\n", + " 'expanded_url': 'https://twitter.com/TheEllenShow/status/440322224407314432/photo/1',\n", + " 'media_key': '3_440322224092745728',\n", + " 'start': 59,\n", + " 'url': 'http://t.co/C9U5NOtGap'}]},\n", + " 'id': '440322224407314432',\n", + " 'lang': 'en',\n", + " 'possibly_sensitive': False,\n", + " 'public_metrics': {'like_count': 2133572,\n", + " 'quote_count': 18839,\n", + " 'reply_count': 202693,\n", + " 'retweet_count': 2922628},\n", + " 'reply_settings': 'everyone',\n", + " 'source': 'Twitter for Android',\n", + " 'text': \"If only Bradley's arm was longer. Best photo ever. #oscars \"\n", + " 'http://t.co/C9U5NOtGap'}\n" + ] + } + ], + "source": [ + "# The id of Ellen's viral tweet\n", + "ellen_tweet_id = '440322224407314432'\n", + "\n", + "# The id of another tweet, by our OSoMe account\n", + "osome_tweet_id = '1176676441666347008'\n", + "\n", + "# Tweet lookup takes a list of tweet IDs and returns an iterator of search pages. Each search page has at most 100 results\n", + "search_pages = client.tweet_lookup(tweet_ids=[ellen_tweet_id, osome_tweet_id])\n", + "\n", + "# In our case we have a single page\n", + "page = list(search_pages)[0]\n", + "\n", + "# flatten() is a twarc2 function that converts a page of results into a list of consolidated json objects\n", + "# In our case the page contains two tweet objects\n", + "tweets = flatten(page)\n", + "ellen_tweet, osome_tweet = tweets\n", + "\n", + "pprint(ellen_tweet)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "qwp0spc9Dycl" + }, + "source": [ + "Tweet objects contain several interesting data and metadata, but the most basic are the `text` and `entities`. The `text` is what you expect it to be, the content of the tweet:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "id": "0iIr7fxYDycl", + "outputId": "563c69ff-36a8-4d83-b104-e4e12c82c4cb" + }, + "outputs": [ + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + }, + "text/plain": [ + "\"If only Bradley's arm was longer. Best photo ever. #oscars http://t.co/C9U5NOtGap\"" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ellen_tweet['text']" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "NQ9DTYm8Dycn" + }, + "source": [ + "The `entities` field contains several tokens of interest already extracted from the tweet such as hashtags, URLs, images, and mentions of other users:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "0D4_QodcDycn", + "outputId": "b4d766f6-b287-4fef-c6e1-3f142a1e9594" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'hashtags': [{'start': 51, 'end': 58, 'tag': 'oscars'}],\n", + " 'urls': [{'start': 59,\n", + " 'end': 81,\n", + " 'url': 'http://t.co/C9U5NOtGap',\n", + " 'expanded_url': 'https://twitter.com/TheEllenShow/status/440322224407314432/photo/1',\n", + " 'display_url': 'pic.twitter.com/C9U5NOtGap',\n", + " 'media_key': '3_440322224092745728'}],\n", + " 'annotations': [{'start': 8,\n", + " 'end': 14,\n", + " 'probability': 0.7889,\n", + " 'type': 'Person',\n", + " 'normalized_text': 'Bradley'},\n", + " {'start': 52,\n", + " 'end': 57,\n", + " 'probability': 0.7828,\n", + " 'type': 'Other',\n", + " 'normalized_text': 'oscars'}]}" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ellen_tweet['entities']" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Q2GT6mAk5De3" + }, + "source": [ + "The OSoMe tweet contains different entities, like `mentions`:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Uk-FbdQ45Bw_", + "outputId": "655b8b85-0e2b-4863-85ad-af5bbe176c8d" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'annotations': [{'start': 4,\n", + " 'end': 14,\n", + " 'probability': 0.4464,\n", + " 'type': 'Other',\n", + " 'normalized_text': 'Observatory'},\n", + " {'start': 26,\n", + " 'end': 30,\n", + " 'probability': 0.4604,\n", + " 'type': 'Other',\n", + " 'normalized_text': 'Media'},\n", + " {'start': 33,\n", + " 'end': 37,\n", + " 'probability': 0.4265,\n", + " 'type': 'Other',\n", + " 'normalized_text': 'OSoMe'},\n", + " {'start': 85,\n", + " 'end': 102,\n", + " 'probability': 0.9889,\n", + " 'type': 'Organization',\n", + " 'normalized_text': 'Indiana University'},\n", + " {'start': 261,\n", + " 'end': 265,\n", + " 'probability': 0.4653,\n", + " 'type': 'Other',\n", + " 'normalized_text': 'Hoaxy'},\n", + " {'start': 273,\n", + " 'end': 281,\n", + " 'probability': 0.7221,\n", + " 'type': 'Other',\n", + " 'normalized_text': 'BotSlayer'}],\n", + " 'mentions': [{'start': 249,\n", + " 'end': 259,\n", + " 'username': 'Botometer',\n", + " 'id': '2451308594',\n", + " 'name': 'Botometer',\n", + " 'public_metrics': {'followers_count': 12068,\n", + " 'following_count': 128,\n", + " 'tweet_count': 1758,\n", + " 'listed_count': 165},\n", + " 'entities': {'url': {'urls': [{'start': 0,\n", + " 'end': 23,\n", + " 'url': 'https://t.co/wTGU8ZVzjy',\n", + " 'expanded_url': 'https://botometer.iuni.iu.edu',\n", + " 'display_url': 'botometer.iuni.iu.edu'}]}},\n", + " 'url': 'https://t.co/wTGU8ZVzjy',\n", + " 'created_at': '2014-04-18T12:37:44.000Z',\n", + " 'protected': False,\n", + " 'location': 'Bloomington, IN',\n", + " 'description': 'Tool to calculate likelihood an account is automated (a bot). Formerly known as BotOrNot, part of OSoMe at IU. Pls read FAQ before asking about permissions!',\n", + " 'pinned_tweet_id': '1263120334695301127',\n", + " 'verified': False,\n", + " 'profile_image_url': 'https://pbs.twimg.com/profile_images/457137705931927552/vaOsBeZY_normal.png'}]}" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "osome_tweet['entities']" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "r__FS6kf15wk" + }, + "source": [ + "We'll make use of the `mentions` later.\n", + "\n", + "Considering that this is a nested dictionary, the code below prints out the list of `mentions` in the `osome_tweet`.\n", + "\n", + "(*Note*: Not every Tweet has user mentions. What happens when you try to print the `mentions` in the `ellen_tweet`?)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ittqTipDDycp" + }, + "outputs": [], + "source": [ + "for m in osome_tweet['entities']['mentions']:\n", + " print(m['username'], 'mentioned by', osome_tweet['author']['username'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "TBx8ygJr5jtB" + }, + "outputs": [], + "source": [ + "# This produces an error because there are no mentions\n", + "for m in ellen_tweet['entities']['mentions']:\n", + " pprint(m['username'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "GqQ9DhJz5qZA" + }, + "outputs": [], + "source": [ + "# This works because we check first\n", + "if 'mentions' in ellen_tweet['entities']:\n", + " for m in ellen_tweet['entities']['mentions']:\n", + " print(m['username'], 'mentioned by', ellen_tweet['author']['username'])\n", + "else:\n", + " print('No mentions by', ellen_tweet['author']['username'])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "pr_j1eCjDycr" + }, + "source": [ + "# 2 Twitter Search API\n", + "\n", + "Twitter's\n", + "[Search API](https://developer.twitter.com/en/docs/twitter-api/tweets/search/introduction)\n", + "allows you to fetch recent tweets according to a query of keywords, URLs, hashtags, user mentions, etc.\n", + "\n", + "Let's search for about 1000 recent tweets matching a hashtag. By default each page has at most 100 results. So we have to loop over the pages, which will send multiple API requests. This may take a few seconds..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "kYs9GfKODyct", + "scrolled": true + }, + "outputs": [], + "source": [ + "pages = client.search_recent('#Science')\n", + "\n", + "search_tweets = []\n", + "\n", + "for page in pages:\n", + " search_tweets += flatten(page)\n", + " if len(search_tweets) >= 1000:\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "crhURQDAAn22", + "outputId": "fc697466-8908-4d11-c26a-8ad67eae21ec" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1000" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(search_tweets)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "v3cNwiCtDycv" + }, + "source": [ + "Let's look at the authors of the first and the last tweet:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "NPon1EyQDycv", + "scrolled": true + }, + "outputs": [], + "source": [ + "# First Author\n", + "pprint(search_tweets[0]['author']['username'])\n", + "\n", + "# Last Author\n", + "pprint(search_tweets[-1]['author']['username'])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "nglvglbPDydA" + }, + "source": [ + "# 3 Social Network Graphs\n", + "\n", + "In this section of the tutorial, we're going to use NetworkX to create social networks from Twitter data. The examples are going to have users as nodes.\n", + "\n", + "We can build various kinds of networks from tweets, based on retweets, quotes or replies. We can find these references among tweets in the `referenced_tweets` field. " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4FahEwVEy62s" + }, + "source": [ + "## 3.1 Quotes\n", + "\n", + "Here is an example for selecting tweets that quote other tweets:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "xslyFFnEIxvf" + }, + "outputs": [], + "source": [ + "for tweet in search_tweets:\n", + " # check if the tweet has references\n", + " if 'referenced_tweets' in tweet:\n", + "\n", + " # tweet could reference one or more tweets\n", + " for ref_tweet in tweet['referenced_tweets']:\n", + "\n", + " # check the type of reference\n", + " if ref_tweet['type'] == 'quoted':\n", + " print(\n", + " f\"Tweet {tweet['id']} by @{tweet['author']['username']} is quoting tweet {ref_tweet['id']} by @{ref_tweet['author']['username']}.\"\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "sKoEoDOPEZzs" + }, + "source": [ + "## 3.2 Retweet Network\n", + "\n", + "Now let's do something similar for retweets and actually create the directed network among the users based on the retweets." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "h4DyfOhXH54D" + }, + "outputs": [], + "source": [ + "import networkx as nx" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "cOKGtfrUDydH" + }, + "source": [ + "We're going to draw edges in the direction of information flow: from the retweeted user to the retweeter, the user doing the retweeting. Since a user can retweet another user more than once, we want this graph to be weighted, with the number of retweets as the weight." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "GWdhkFR1DydA" + }, + "outputs": [], + "source": [ + "# initialize directed network\n", + "D = nx.DiGraph()\n", + "\n", + "for tweet in search_tweets:\n", + " # check if the tweet has references\n", + " if 'referenced_tweets' in tweet:\n", + "\n", + " # tweet could reference one or more tweets\n", + " for ref_tweet in tweet['referenced_tweets']:\n", + "\n", + " # check the type of reference\n", + " if ref_tweet['type'] == 'retweeted':\n", + "\n", + " # author of tweet\n", + " retweeter_user = tweet['author']['username']\n", + "\n", + " # author of referenced tweet\n", + " retweeted_user = ref_tweet['author']['username']\n", + "\n", + " # adding edge to the graph\n", + " if D.has_edge(retweeted_user, retweeter_user):\n", + " D.edges[retweeted_user, retweeter_user]['weight'] += 1\n", + " else:\n", + " D.add_edge(retweeted_user, retweeter_user, weight=1)\n", + "\n", + "print(f'The retweet network has {D.number_of_nodes()} nodes and {D.number_of_edges()} edges.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "S2D2HzJgDydK" + }, + "source": [ + "## 3.3 Analyzing the Retweet Network\n", + "\n", + "Now that we have the retweet network, let's ask some questions about it." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "R3ddBLMv1uAw" + }, + "source": [ + "### Influential Users\n", + "\n", + "Since the edges are in the direction of information flow, out-degree gives us the number of other users retweeting a given user. We can get the user with highest out-degree using the built-in `max` function:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "TlUwtTMRDydK" + }, + "outputs": [], + "source": [ + "max(D.nodes, key=D.out_degree)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "aTlKKDGmDydM" + }, + "source": [ + "We can get more context from the \"top N\" users:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "KvOXzSWQDydN" + }, + "outputs": [], + "source": [ + "from operator import itemgetter\n", + "\n", + "sorted(D.out_degree(), key=itemgetter(1), reverse=True)[:5]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "QoPbwcBIDydO" + }, + "source": [ + "In this piece of code, we take advantage of the fact that `D.out_degree()` returns a sequence of `(name, degree)` 2-tuples; specifying `key=itemgetter(1)` tells the `sorted` function to sort these 2-tuples by their value at index 1. Giving `reverse=True` tells the `sorted` function that we want this in descending order, and the `[:5]` at the end slices the first 5 items from the resulting list.\n", + "\n", + "However, this is a weighted graph! By default, `out_degree()` ignores the edge weights. We can get out-strength by telling the `out_degree()` function to take into account the edge weight:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "0fKnopu1DydO" + }, + "outputs": [], + "source": [ + "sorted(D.out_degree(weight='weight'), key=itemgetter(1), reverse=True)[:5]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0zQMMUw9DydQ" + }, + "source": [ + "In some cases these two results will be the same, namely if none of these users has been retweeted multiple times by the same user. Depending on your use case, you may or may not wish to take the weights into account.\n", + "\n", + "### Anomaly Detection\n", + "\n", + "One type of social media manipulation involves accounts that create very little original content, instead \"spamming\" retweets of any and all content in a particular conversation. Can we detect any users doing significantly more retweeting than others? Let's look at the top N retweeters:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "qpRUQaKIDydQ", + "scrolled": true + }, + "outputs": [], + "source": [ + "sorted(D.in_degree(weight='weight'), key=itemgetter(1), reverse=True)[:5]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "SEz2w8kIDydS" + }, + "source": [ + "### Connectivity\n", + "\n", + "We can ask if the tweets obtained by the search represent one large conversation or many small conversations; broadly speaking, each weakly-connected component represents a conversation." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "VZ9TmhLQDydS" + }, + "outputs": [], + "source": [ + "nx.is_weakly_connected(D)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "9KVkUxIPDydT" + }, + "outputs": [], + "source": [ + "nx.number_weakly_connected_components(D)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "RtX9r_AeDydU" + }, + "source": [ + "### Drawing\n", + "\n", + "We can try to draw this graph with the nodes sized by their out-strength:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 319 + }, + "id": "U6SZaM04DydV", + "outputId": "172b8e49-986b-4882-bd7b-7ded46e69085" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "node_sizes = [D.out_degree(n, weight='weight') * 50 for n in D.nodes]\n", + "\n", + "nx.draw(D, node_size=node_sizes)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "TPMzL5yCDydW" + }, + "source": [ + "Note that in this simplistic drawing, nodes with zero out-strength are not drawn on the diagram because their size is 0. This suits us fine; only the users who have been retweeted are drawn here." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8pnnCgDkDydW" + }, + "source": [ + "## 3.4 Twitter Mention Network\n", + "\n", + "Another Twitter interaction between users occurs when one user mentions another in a tweet by their @screen_name. As an example, consider the following hypothetical tweet from @osome_iu):\n", + "\n", + "> Check out the new research from @IULuddy and @USC_ISI https://...\n", + "\n", + "From this tweet we would create two edges:\n", + "\n", + " ('OSoMe_IU', 'IULuddy')\n", + " ('OSoMe_IU', 'USC_ISI')\n", + "\n", + "It's up to us which direction we draw these edges, but we should be consistent. In this example, we will draw edges in the direction of attention flow: @osome_iu is giving attention to @IULuddy and @USC_ISI.\n", + "\n", + "Let us use the same tweets we retrieved from our previous search and make use of `entities` field to retrieve mentioned users." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "96tMRTuqDydY" + }, + "outputs": [], + "source": [ + "M = nx.DiGraph()\n", + "\n", + "# iterating through the searched_tweets\n", + "for tweet in search_tweets:\n", + "\n", + " # checking if mentions exist in entities\n", + " if 'mentions' in tweet['entities']:\n", + "\n", + " # iterating through the mentions\n", + " for mention in tweet['entities']['mentions']:\n", + "\n", + " # author of tweet\n", + " mentioner = tweet['author']['username']\n", + "\n", + " # mentioned user\n", + " mentioned = mention['username']\n", + "\n", + " # adding edge to the graph\n", + " if M.has_edge(mentioner, mentioned):\n", + " M.edges[mentioner, mentioned]['weight'] += 1\n", + " else:\n", + " M.add_edge(mentioner, mentioned, weight=1)\n", + "\n", + "print(f'The mention network has {M.number_of_nodes()} nodes and {M.number_of_edges()} edges.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "dnGfESXJDyda" + }, + "source": [ + "## 3.5 Analyzing the Mention Network\n", + "\n", + "Now that we have this graph, let's ask some questions about it." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HAXi2hdXzZhf" + }, + "source": [ + "### Popular Users\n", + "\n", + "Since these edges are in the direction of attention flow, in-degree gives us the number of other users mentioning a given user. We can get the user with highest in-degree using the built-in `max` function:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "fEeIGbenDydb" + }, + "outputs": [], + "source": [ + "max(M.nodes, key=M.in_degree)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "kIhgNSuYDydd" + }, + "source": [ + "We can get more context from the \"top N\" users:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "1Saeaov3Dydd" + }, + "outputs": [], + "source": [ + "from operator import itemgetter\n", + "\n", + "sorted(M.in_degree(), key=itemgetter(1), reverse=True)[:5]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "S9TkmodtDyde" + }, + "source": [ + "By specifying `weight='weight'` we can instead get the top 5 users by in-strength instead of in-degree:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "vhZcOHfFDydf" + }, + "outputs": [], + "source": [ + "sorted(M.in_degree(weight='weight'), key=itemgetter(1), reverse=True)[:5]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "m67pOvVLDydg" + }, + "source": [ + "In some cases these two results will be the same, namely if none of these users has been mentioned multiple times by the same user. Depending on your use case, you may or may not wish to take the weights into account.\n", + "\n", + "In addition, note that when user A retweets user B, the API also reports user A mentioning user B. Therefore, you may observe that the most mentioned users may be similar to the most retweeted users.\n", + "\n", + "### Conversation Drivers\n", + "\n", + "A user mentioning many others in a conversation may be \"driving\" the conversation and trying to include others in the dialogue. It could also be spam. Let's see who is doing the most mentioning here:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "_eu1YE9JDydh", + "scrolled": true + }, + "outputs": [], + "source": [ + "sorted(M.out_degree(weight='weight'), key=itemgetter(1), reverse=True)[:5]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "UgV4IFmhDydi" + }, + "source": [ + "### Connectivity\n", + "\n", + "We can ask if the tweets obtained by the search represent one large conversation or many small conversations; broadly speaking, each weakly-connected component represents a conversation." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "sLLfEFvyDydi" + }, + "outputs": [], + "source": [ + "nx.is_weakly_connected(M)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ew6ch5yDDydk" + }, + "outputs": [], + "source": [ + "nx.number_weakly_connected_components(M)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "B4AsfkQCDydm" + }, + "source": [ + "### Drawing\n", + "\n", + "We can try to draw this graph with the nodes sized by their in-strength:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 319 + }, + "id": "QkMgDReJDydm", + "outputId": "b5332d68-7e4e-4d77-b9db-6eb55948a333" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "node_sizes = [M.in_degree(n, weight='weight') * 50 for n in M.nodes]\n", + "\n", + "nx.draw(M, node_size=node_sizes)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "D6nI1mMmDydn" + }, + "source": [ + "Note that in this simplistic drawing, nodes with zero in-strength are not drawn on the diagram because their size is 0. This suits us fine; only the users who have been mentioned are drawn here." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Hf4iUkVW6x40" + }, + "source": [ + "## 3.6 Try This: Reply Network\n", + "\n", + "Of the tweets we fetched, a subset will be replies. *If* a tweet is a reply, it will have `referenced_tweets` as a field and the `type` of the referenced tweet will be `replied_to`.\n", + "\n", + "Write code to loop through `search_tweets` and construct a reply network. Make sure to be consistent with the edge direction. How many nodes and edges does the reply network have?\n", + "\n", + "Hint: if a `replied_to` tweet was deleted, its JSON object will only have an `id` and `type`, nothing else. To avoid errors due to this, your code should check for these cases and skip them." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Aohjqp4C7a6d" + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [ + "ZgE7-80d5__E", + "jC6miE_p7FoV" + ], + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.13" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/tutorials/Chapter 6 Tutorial.ipynb b/tutorials/Chapter 6 Tutorial.ipynb index fd9c06d..ed087d9 100644 --- a/tutorials/Chapter 6 Tutorial.ipynb +++ b/tutorials/Chapter 6 Tutorial.ipynb @@ -53,8 +53,8 @@ ], "source": [ "G = nx.Graph()\n", - "G.add_cycle([0, 1, 2, 3])\n", - "G.add_cycle([4, 5, 6, 7])\n", + "nx.add_cycle(G, [0, 1, 2, 3])\n", + "nx.add_cycle(G, [4, 5, 6, 7])\n", "G.add_edge(0, 7)\n", "\n", "nx.draw(G, with_labels=True)" @@ -418,7 +418,7 @@ } ], "source": [ - "K.node[9]" + "K.nodes[9]" ] }, { @@ -450,7 +450,7 @@ " 'Mr. Hi': 'orange',\n", " 'Officer': 'lightblue',\n", "}\n", - "node_colors = [club_color[K.node[n]['club']] for n in K.nodes]\n", + "node_colors = [club_color[K.nodes[n]['club']] for n in K.nodes]\n", "nx.draw(K, node_color=node_colors, with_labels=True)" ] }, @@ -487,7 +487,7 @@ "}\n", "\n", "for n in K.nodes:\n", - " club = K.node[n]['club']\n", + " club = K.nodes[n]['club']\n", " groups[club].add(n)\n", " \n", "groups"