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<meta name="keyword" content="Fixing, Sports, Analytics, Data, Twitter, YouTube, Corruption, Match, Dominique, Taboga, Football">
<title>TWEETFIX</title>
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<span>Cases</span>
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<li><a href="djokovic.html">N. Djokovic</a></li>
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<li><a href="football.html">Southern Stars</a></li>
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<section id="main-content">
<section class="wrapper site-min-height">
<h2><i class="fa fa-angle-right"></i> The Taboga 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">
In November 2013, Dominique Taboga claimed he was blackmailed by former Kapfenberger teammate Sanel Kuljić to fix matches forcing Kuljić to be taken into police custody. A few days later Taboga admitted that he tried to convince four other players to manipulate a match during season 2012/13. Taboga was eventually banned for life from playing, refereeing, club official, and player agent.
</p>
<p class="query-words">
Query Words:
<span class="label label-danger">Taboga</span>
<span class="label label-danger">Dominique</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 &amp; 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>338</h3>
<p>338 distinct tweets</p>
</div>
</div>
<div class="row">
<div class="box0 box1">
<span class="fa fa-user"></span>
<h3>210</h3>
<p>210 distinct users</p>
</div>
</div>
<div class="row">
<div class="box0 box1">
<span class="fa fa-list"></span>
<h3>1.388</h3>
<p>1.388 distinct words</p>
</div>
</div>
<div class="row">
<div class="box0 box1">
<span class="fa fa-calendar-o"></span>
<h4>04/11/2013 to 13/01/2017</h4>
<p>The time frame of the data is 3 years 2 months</p>
</div>
</div>
<!-- SENTIMENT ANALYSIS SCORES -->
<div class="row">
<div class="box0 box1 box-SA">
<h3>Sentiment: <span style="font-size: 32px; color: #ac92ec;">Fear</span></h3>
<p>The overall score of our sentiment analysis indicated the main sentiment of the users was Fear.</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>taboga</td>
<td>366</td>
</tr>
<tr>
<td>2</td>
<td>dominique</td>
<td>280</td>
</tr>
<tr>
<td>3</td>
<td>dig</td>
<td>102</td>
</tr>
<tr>
<td>4</td>
<td>wettskandal</td>
<td>54</td>
</tr>
<tr>
<td>5</td>
<td>von</td>
<td>40</td>
</tr>
<tr>
<td>6</td>
<td>die</td>
<td>38</td>
</tr>
<tr>
<td>7</td>
<td>manipulation</td>
<td>37</td>
</tr>
<tr>
<td>8</td>
<td>ball</td>
<td>31</td>
</tr>
<tr>
<td>9</td>
<td>den</td>
<td>31</td>
</tr>
<tr>
<td>10</td>
<td>kuljic</td>
<td>30</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="http://cdn.tagul.com/embed/az0tee8nmqrz"></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="http://cdn.tagul.com/embed/sajllej22gbf"></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>#taboga</td>
<td>87</td>
</tr>
<tr>
<td>2</td>
<td>#wettskandal</td>
<td>25</td>
</tr>
<tr>
<td>3</td>
<td>#gr</td>
<td>15</td>
</tr>
<tr>
<td>4</td>
<td>#kuljic</td>
<td>12</td>
</tr>
<tr>
<td>5</td>
<td>#ssnhd</td>
<td>10</td>
</tr>
<tr>
<td>6</td>
<td>#svgr</td>
<td>8</td>
</tr>
<tr>
<td>7</td>
<td>#fu</td>
<td>7</td>
</tr>
<tr>
<td>8</td>
<td>#Football</td>
<td>5</td>
</tr>
<tr>
<td>9</td>
<td>#kooora</td>
<td>4</td>
</tr>
<tr>
<td>10</td>
<td>#Austria</td>
<td>4</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="row mt case-charts">
<h4><i class="fa fa-angle-right"></i> Most Frequent Users &amp; Mentions <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 and the tagcloud contains the most frequent mentions included in the tweets.</p>
</div>
<!-- BUBBLE CHART - MENTIONS -->
<!-- <div class="col-lg-4">
<img src="images/users-freq.jpg"/>
</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>@egothVerlag</td>
<td>13</td>
</tr>
<tr>
<td>2</td>
<td>@weltfussballAT</td>
<td>10</td>
</tr>
<tr>
<td>3</td>
<td>@sportnetfussb</td>
<td>9</td>
</tr>
<tr>
<td>4</td>
<td>@SkySportAustria</td>
<td>9</td>
</tr>
<tr>
<td>5</td>
<td>@SchnitzelSoccer</td>
<td>8</td>
</tr>
<tr>
<td>6</td>
<td>@salzburg_com</td>
<td>7</td>
</tr>
<tr>
<td>7</td>
<td>@Salzburg24</td>
<td>7</td>
</tr>
<tr>
<td>8</td>
<td>@LukasMatzinger</td>
<td>6</td>
</tr>
<tr>
<td>9</td>
<td>@sportreport_biz</td>
<td>6</td>
</tr>
<tr>
<td>10</td>
<td>@TTNachrichten</td>
<td>5</td>
</tr>
</tbody>
</table>
</div>
<!-- TAG CLOUD - USERS -->
<div class="col-lg-8 tag-cloud">
<script src="http://cdn.tagul.com/embed/2hpw1lduxddk"></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-taboga.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>@Untersbergarena</td>
<td>5</td>
</tr>
<tr>
<td>2</td>
<td>@SkySportNewsHD</td>
<td>4</td>
</tr>
<tr>
<td>3</td>
<td>@ServusTV</td>
<td>3</td>
</tr>
<tr>
<td>4</td>
<td>@DiePresse_Spo</td>
<td>3</td>
</tr>
<tr>
<td>5</td>
<td>@OEFBL</td>
<td>2</td>
</tr>
<tr>
<td>6</td>
<td>@FLECKL</td>
<td>2</td>
</tr>
<tr>
<td>7</td>
<td>@sportStandardat</td>
<td>2</td>
</tr>
</tbody>
</table>
</div>
</div>
<!-- FREQUENT LOCATIONS MAP -->
<!-- <div class="row mt case-charts">
<div class="map" id="map"></div>
<script>
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{'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},
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// 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
// http://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;}');
});
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