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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="">
<meta name="author" content="OSWINDS">
<meta name="keyword" content="Fixing, Sports, Analytics, Data, Twitter, YouTube, Corruption, Match, Novak, Djokovic, Tennis">
<title>TWEETFIX</title>
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<![endif]-->
</head>
<body>
<section id="container" >
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TOP BAR CONTENT & NOTIFICATIONS
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<header class="header black-bg">
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<div class="fa fa-bars tooltips" data-placement="right" data-original-title="Toggle Navigation"></div>
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<!--logo start-->
<a href="index.html" class="logo"><b>FIX THE TWITTER</b></a>
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<ul class="nav pull-right top-menu">
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<li class="active"><a href="djokovic.html">N. Djokovic</a></li>
<li><a href="donaghy.html">T. Donaghy</a></li>
<li><a href="football.html">Southern Stars</a></li>
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</aside>
<!--sidebar end-->
<!-- **********************************************************************************************************************************************************
MAIN CONTENT
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<!--main content start-->
<section id="main-content">
<section class="wrapper site-min-height">
<h2><i class="fa fa-angle-right"></i> The Djokovic Case</h2>
<!-- FIRST ROW: INTRO / LINE CHART / TAG CLOUD / INFOBOX -->
<div class="row mt">
<div class="col-lg-9 col-md-9 col-sm-9">
<!-- INTRO TO THE CASE -->
<div class="row">
<p class="intro intro-cases">
On January the 18th 2016, Djokovic revealed that some years ago he was approached indirectly with a £100,000 offer in order to lose a match.
The revealed scandal provoked a storm of reactions from the other tennis players, news agencies as well as the social media, where there was
an burst of users expressing their opinions regarding Djokovic, match fixing and other related topics.
</p>
<p class="query-words">
Query Words:
<span class="label label-danger">Djokovic</span>
<span class="label label-danger">Novak</span>
<span class="label label-info">fixing</span>
<span class="label label-info">betting</span>
<span class="label label-info">corruption</span>
<span class="label label-info">scam</span>
<span class="label label-info">gambling</span>
<span class="label label-info">fraud</span>
<span class="label label-info">illegal</span>
<span class="label label-info">suspicious</span>
<span class="label label-info">manipulation</span>
<span class="label label-info">integrity</span>
</p>
</div>
<!-- TWEETS PER MONTH PLOT -->
<div class="row mt case-charts">
<h4><i class="fa fa-angle-right"></i> Tweets per Day <i class="fa fa-info-circle infopop-icon"></i> </h4>
<div class="infopop">
<p>Contains the count of tweets submitted every day during the researching period.</p>
</div>
<div class="panel-body">
<div id="date-graph" class="graph"></div>
</div>
</div>
<!-- SENTIMENT PER MONTH PLOT -->
<div class="row mt case-charts">
<h4><i class="fa fa-angle-right"></i> Sentiment per Month <i class="fa fa-info-circle infopop-icon"></i> </h4>
<div class="infopop">
<p>Contains information about the scores of six basic sentiments (Anger, Disgust, Fear, Joy, Sadness & Surprise), on each month.</p>
</div>
<div class="panel-body">
<div id="sentiment-graph" class="graph"></div>
</div>
</div>
</div>
<div class="col-lg-3 col-md-3 col-sm-3">
<!-- GENERAL INFO -->
<div class="content-panel case-right">
<h4><i class="fa fa-angle-right"></i> Infobox</h4>
<div class="panel-body ">
<div class="row panel-body-less-padding">
<div class="box0 box1">
<span class="fa fa-twitter"></span>
<h3>105.188</h3>
<p>105.188 distinct tweets</p>
</div>
</div>
<div class="row">
<div class="box0 box1">
<span class="fa fa-youtube"></span>
<h3>198</h3>
<p>198 distinct Youtube comments</p>
</div>
</div>
<div class="row">
<div class="box0 box1">
<span class="fa fa-user"></span>
<h3>1.901</h3>
<p>1.901 distinct users</p>
</div>
</div>
<div class="row">
<div class="box0 box1">
<span class="fa fa-list"></span>
<h3>2.639</h3>
<p>2.639 distinct words</p>
</div>
</div>
<div class="row">
<div class="box0 box1">
<span class="fa fa-calendar-o"></span>
<h4>18/01/2016 to 30/04/2016</h4>
<p>The time frame of the data is 4 months</p>
</div>
</div>
<!-- SENTIMENT ANALYSIS SCORES -->
<div class="row">
<div class="box0 box1 box-SA">
<h3>Sentiment: <span style="font-size: 32px; color: #ffd777;">Disgust</span></h3>
<p>The overall score of our sentiment analysis indicated the main sentiment of the users was Disgust.</p>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- SECOND ROW: TAG CLOUD - WORDS -->
<div class="row mt case-charts">
<h4><i class="fa fa-angle-right"></i> Most Frequent Words <i class="fa fa-info-circle infopop-icon"></i> </h4>
<div class="col-md-3">
<table class="table table-hover mt">
<thead>
<tr>
<th>#</th>
<th>Word</th>
<th>Frequency</th>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>djokovic</td>
<td>68231</td>
</tr>
<tr>
<td>2</td>
<td>novak</td>
<td>45063</td>
</tr>
<tr>
<td>3</td>
<td>federer</td>
<td>11697</td>
</tr>
<tr>
<td>4</td>
<td>open</td>
<td>10444</td>
</tr>
<tr>
<td>5</td>
<td>de</td>
<td>9593</td>
</tr>
<tr>
<td>6</td>
<td>murray</td>
<td>8795</td>
</tr>
<tr>
<td>7</td>
<td>tennis</td>
<td>8477</td>
</tr>
<tr>
<td>8</td>
<td>australian</td>
<td>8368</td>
</tr>
<tr>
<td>9</td>
<td>ausopen</td>
<td>7839</td>
</tr>
<tr>
<td>10</td>
<td>en</td>
<td>7273</td>
</tr>
</tbody>
</table>
</div>
<div class="col-md-9">
<div class="infopop">
<p>Contains the most frequent distinct words as extracted from the final data during the researching period.</p>
</div>
<div class="panel-body">
<div class="tag-cloud">
<script src="https://cdn.tagul.com/embed/22105ogjf41c"></script>
</div>
</div>
</div>
</div>
<!-- THIRD ROW: TAG CLOUDS - HASHTAGS & MENTIONS / BUBBLE CHART / LOCATION MAP -->
<div class="row mt case-charts">
<!-- TAG CLOUD - HASHTAGS -->
<div class="col-md-9">
<h4><i class="fa fa-angle-right"></i> Most Frequent Hashtags <i class="fa fa-info-circle infopop-icon"></i> </h4>
<div class="infopop">
<p>Contains the most frequent distinct hashtags as extracted from the final data. The table shows the top10 of the hashtags along with their frequencies.</p>
</div>
<div class="tag-cloud">
<script src="https://cdn.tagul.com/embed/teqb2bwdt88c"></script>
</div>
</div>
<!-- TABLE OF MOST FREQUENT HASHTAGS -->
<div class="col-md-3">
<table class="table table-hover mt">
<thead>
<tr>
<th>#</th>
<th>Word</th>
<th>Frequency</th>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>#AusOpen</td>
<td>7602</td>
</tr>
<tr>
<td>2</td>
<td>#Djokovic</td>
<td>4817</td>
</tr>
<tr>
<td>3</td>
<td>#tennis</td>
<td>3055</td>
</tr>
<tr>
<td>4</td>
<td>#AustralianOpen</td>
<td>1383</td>
</tr>
<tr>
<td>5</td>
<td>#Federer</td>
<td>829</td>
</tr>
<tr>
<td>6</td>
<td>#BATB</td>
<td>588</td>
</tr>
<tr>
<td>7</td>
<td>#NovakDjokovic</td>
<td>564</td>
</tr>
<tr>
<td>8</td>
<td>#Tenis</td>
<td>538</td>
</tr>
<tr>
<td>9</td>
<td>#AusOpenpic</td>
<td>520</td>
</tr>
<tr>
<td>10</td>
<td>#News</td>
<td>501</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="row mt case-charts">
<h4><i class="fa fa-angle-right"></i> Most Frequent Users & Mentions / Location Map <i class="fa fa-info-circle infopop-icon"></i> </h4>
<div class="infopop">
<p>The bubble chart contains the most frequent users that tweeted about the event, the tagcloud contains the most frequent mentions included in the tweets and the choropleth map shows the locations that interacted with the tweet.</p>
</div>
<!-- TABLE OF MOST FREQUENT USERS -->
<div class="col-md-3 col-md-offset-1">
<table class="table table-hover mt">
<thead>
<tr>
<th>#</th>
<th>Word</th>
<th>Frequency</th>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>@knovak832_novak</td>
<td>1468</td>
</tr>
<tr>
<td>2</td>
<td>@smiley2410</td>
<td>1032</td>
</tr>
<tr>
<td>3</td>
<td>@LeeRock</td>
<td>992</td>
</tr>
<tr>
<td>4</td>
<td>@AustralianOpen</td>
<td>897</td>
</tr>
<tr>
<td>5</td>
<td>@DjokerNole</td>
<td>846</td>
</tr>
<tr>
<td>6</td>
<td>@beastieaw</td>
<td>814</td>
</tr>
<tr>
<td>7</td>
<td>@YouTube</td>
<td>788</td>
</tr>
<tr>
<td>8</td>
<td>@Annepappas22</td>
<td>644</td>
</tr>
<tr>
<td>9</td>
<td>@monachris</td>
<td>597</td>
</tr>
<tr>
<td>10</td>
<td>@zelly309</td>
<td>563</td>
</tr>
</tbody>
</table>
</div>
<!-- TAG CLOUD - USERS -->
<div class="col-lg-8 tag-cloud">
<script src="https://cdn.tagul.com/embed/ibwjza2wyjc6"></script>
</div>
</div>
<div class="row mt case-charts">
<!-- BUBBLE CHART - MENTIONS -->
<div class="col-md-offset-1 col-md-8 bubble-chart">
<img src="images/bubble-djokovic.png"/>
</div>
<!-- TABLE OF MOST FREQUENT MENTIONS -->
<div class="col-md-3">
<table class="table table-hover mt">
<thead>
<tr>
<th>#</th>
<th>Word</th>
<th>Frequency</th>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>@world_tennis</td>
<td>36</td>
</tr>
<tr>
<td>2</td>
<td>@Bettingbonus4u</td>
<td>17</td>
</tr>
<tr>
<td>3</td>
<td>@l5iza</td>
<td>14</td>
</tr>
<tr>
<td>4</td>
<td>@bet_seek</td>
<td>12</td>
</tr>
<tr>
<td>5</td>
<td>@Media_Novak_</td>
<td>12</td>
</tr>
<tr>
<td>6</td>
<td>@livetennis</td>
<td>11</td>
</tr>
<tr>
<td>7</td>
<td>@UK_Tennis_News</td>
<td>10</td>
</tr>
<tr>
<td>8</td>
<td>@metanoik</td>
<td>8</td>
</tr>
<tr>
<td>9</td>
<td>@CorbettSports</td>
<td>7</td>
</tr>
<tr>
<td>10</td>
<td>@aunewse</td>
<td>7</td>
</tr>
</tbody>
</table>
</div>
</div>
<!-- FREQUENT LOCATIONS MAP -->
<div class="row mt case-charts">
<div class="map" id="map"></div>
<script>
anychart.onDocumentReady(
function() {
map = anychart.map();
// insert data
var dataSet = anychart.data.set([
{'id': 'US', 'value': 510},
{'id': 'CA', 'value': 20},
{'id': 'GB', 'value': 149},
{'id': 'FR', 'value': 28},
{'id': 'PH', 'value': 14},
{'id': 'AU', 'value': 16},
{'id': 'ID', 'value': 17},
{'id': 'ZW', 'value': 1},
{'id': 'MX', 'value': 25},
{'id': 'UG', 'value': 1},
{'id': 'DK', 'value': 3},
{'id': 'BW', 'value': 2},
{'id': 'ES', 'value': 30},
{'id': 'CH', 'value': 3},
{'id': 'AE', 'value': 3},
{'id': 'KE', 'value': 1},
{'id': 'NG', 'value': 9},
{'id': 'PL', 'value': 6},
{'id': 'CN', 'value': 4},
{'id': 'IE', 'value': 6},
{'id': 'QA', 'value': 2},
{'id': 'PK', 'value': 5},
{'id': 'SE', 'value': 3},
{'id': 'NL', 'value': 6},
{'id': 'SA', 'value': 3},
{'id': 'RU', 'value': 7},
{'id': 'TH', 'value': 2},
{'id': 'IT', 'value': 9},
{'id': 'DE', 'value': 9},
{'id': 'ZA', 'value': 17},
{'id': 'FI', 'value': 1},
{'id': 'BE', 'value': 3},
{'id': 'TR', 'value': 7},
{'id': 'IN', 'value': 26},
{'id': 'GH', 'value': 5},
{'id': 'NZ', 'value': 7},
{'id': 'JP', 'value': 7},
{'id': 'TZ', 'value': 1},
{'id': 'CO', 'value': 10},
{'id': 'AR', 'value': 39},
{'id': 'CM', 'value': 3},
{'id': 'MY', 'value': 13},
{'id': 'PT', 'value': 11},
{'id': 'CL', 'value': 19},
{'id': 'BR', 'value': 31},
{'id': 'PY', 'value': 3},
{'id': 'AT', 'value': 3},
{'id': 'LV', 'value': 1},
{'id': 'SV', 'value': 2},
{'id': 'GP', 'value': 1},
{'id': 'NP', 'value': 1},
{'id': 'EC', 'value': 3},
{'id': 'HU', 'value': 2},
{'id': 'PE', 'value': 8},
{'id': 'PR', 'value': 3},
{'id': 'EG', 'value': 3},
{'id': 'MK', 'value': 1},
{'id': 'BO', 'value': 1},
{'id': 'CR', 'value': 2},
{'id': 'RS', 'value': 10},
{'id': 'KW', 'value': 2},
{'id': 'NE', 'value': 1},
{'id': 'UY', 'value': 2},
{'id': 'VE', 'value': 5},
{'id': 'CZ', 'value': 3},
{'id': 'NI', 'value': 1},
{'id': 'NO', 'value': 6}
]);
// create choropleth series
series = map.choropleth(dataSet);
// set geoIdField to 'id', this field contains in geo data meta properties
series.geoIdField('id');
// set map color settings
series.colorScale(anychart.scales.linearColor('#effbfd', '#68dff0'));
series.hoverFill('#ed5565');
// disable countries' labels
series.labels(false);
// set map title
map.title().enabled(true).text('Most Frequent Locations talking about Match Fixing\n');
// set geo data, you can find this map in our geo maps collection
// https://cdn.anychart.com/#maps-collection
map.geoData(anychart.maps['world_source']);
//set map container id (div)
map.container('map');
//initiate map drawing
map.draw();
// anychart.installStyles('body{font-family:Verdana,\'Helvetica Neue\',Arial,Helvetica,Geneva,sans-serif;background-color:red;}');
});
</script>
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