openvis tweets #5

README.md

Spread of tweets during the two days of Openvis Conf.

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forked from sxywu's block: openvis tweets #1

forked from sxywu's block: openvis tweets #2

forked from sxywu's block: openvis tweets #3

forked from sxywu's block: openvis tweets #4

forked from sxywu's block: openvis tweets #4.5: data crunch

correlations.json

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index.html

<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://fb.me/react-0.14.3.js"></script>
  <script src="https://fb.me/react-dom-0.14.3.js"></script>
  <script src="https://npmcdn.com/babel-core@5.8.34/browser.min.js"></script>
  <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
  <script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.11.2/lodash.js'></script>
  <link href="//netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css" rel="stylesheet">
  <link href='https://fonts.googleapis.com/css?family=Lora' rel='stylesheet' type='text/css'>
  <style>
    body {
      font-family: 'Lora', serif;
      margin:0;
      color: #49438C;
    }
    text {
      font-size: .8em;
    }
    
    .axis path,
    .axis line {
      fill: none;
      stroke: #000;
      shape-rendering: crispEdges;
    }
    
    a {
      color: #fe2b75;
    }
  </style>
</head>

<body>
  <div id='main'></div>

  <script type="text/babel">
var playing = false;
var padding = {top: 25, left: 50};
var colors = {purple: '#49438C', pink: '#fe2b75'};
var startDate = new Date('2016-04-25T00:00:00-04:00');
var endDate = new Date('2016-04-27T00:00:00-04:00');
var dateFormat = d3.time.format('%x %I:%M%p');

var Bubbles = React.createClass({
	getInitialState() {
  	return {
    	wordsByTweet: {},
      correlations: {},
      nodes: {},
      links: {},
      width: 900,
      height: 350,
    }
  },
  
  componentWillMount() {
  	d3.json('wordsByTweet.json', (wordsByTweet) => {
    	d3.json('correlations.json', (correlations) => {
      	d3.json('words.json', (words) => {
        	var maxTweets = d3.max(words, (word) => word.tweets.length);
          var maxUsers = d3.max(words, (word) => word.users.length);
        	this.tweetsScale = d3.scale.log()
          	.domain([1, maxTweets * 1.1])
            .range([padding.left, this.state.width - padding.left]);
          this.usersScale = d3.scale.log()
          	.domain([1, maxUsers * 1.1])
            .range([this.state.height - padding.top, padding.top]);
        });
        this.setState({wordsByTweet, correlations});
      });
    });
  },
  
  componentWillReceiveProps(nextProps) {
    var nodes = {};
    _.some(nextProps.tweetsByTime, (obj) => {
    	var {date, tweets} = obj;
      if (date <= nextProps.time) {
      	// go through each of the tweets and aggregate the words
      	_.each(tweets, (tweet) => {
        	// so first find the tweet, and then get the words in those tweets
          var tweetId = tweet.id;
          var username = tweet.actor.preferredUsername;
          var words = this.state.wordsByTweet[tweetId];
          _.each(words, (word) => {
          	if (!nodes[word]) {
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              	text: word,
                favorites: 0,
                tweets: {},
                users: {},
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            if (!nodes[word].tweets[tweetId]) {
              nodes[word].favorites += tweet.favoritesCount || 1;
              nodes[word].tweets[tweetId] = tweetId;
              nodes[word].users[username] = username;
            }
          });
        });
      	return false;
      }
      return true;
    });
    
    _.each(nodes, node => {
    	node.x = this.tweetsScale(_.size(node.tweets));
      node.y = this.usersScale(_.size(node.users));
    });
    
    console.log(nodes)
    this.setState({nodes});
  },
  
  render() {
  	var nodeStyle = {
    	fill: colors.purple,
      fillOpacity: 0.5,
    };
  	var nodes = _.map(this.state.nodes, (node) => {
    	return (<circle key={node.text} cx={node.x} cy={node.y}
      	r={node.favorites} style={nodeStyle} />);
    });
  	return (
    	<svg width={this.state.width} height={this.state.height}>
      	{nodes}
      </svg>
    );
  },
});

var App = React.createClass({
  getInitialState() {
    return {
      tweets: {},
      tweetsByTime: [],
      time: startDate,
    };
  },
  
  componentWillMount() {
    d3.json('tweets.json', tweets => {      
      // group by every 5min
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tweets.json

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