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<HEAD>
<META NAME="allow-search" content="YES">
<META NAME="searchtitle" content="evolving graphs, temporal graphs, test collections, datasets">
<META NAME="keywords" CONTENT="evolving graph test collection, datasets, temporal graphs">
<META NAME="description" CONTENT="Evolving Graphs Datasets">
<META NAME="revisit-after" CONTENT="14 days">
<META NAME="audience" CONTENT="All">
<META NAME="author" content="Weijian Zhang">
<META NAME="abstract" CONTENT="Evolving Graph Datasets">
<TITLE>Evolving Graph Datasets</TITLE>
<BODY bgcolor="#f5f5f5">
<h1>Evolving Graph Data Collection</h1>
<ul>
<li><a href="#traffic">Traffic networks</a> : nodes represent the road junctions and edges roads connecting the junctions. </li>
<li><a href="#twitter">Twitter networks</a> : nodes represent users and edges interactings like retweets or favourites between users. </li>
<li><a href="#citation">Citation networks</a> : nodes represent authors and edges influence between authors.
<li><a href="#email">Communication networks (coming soon)</a> : email communication networks with edges representing communication</li>
</ul>
Evolving Graph Data collection is also availalbe from <a href="https://github.com/weijianzhang/EvolvingGraphDatasets">GitHub</a>.
<a name="traffic"></a><h3>Traffic networks</h3>
<table id="datatab2" summary="Table of datasets" border=1>
<tr>
<th>Name</th>
<th>Type</a></th>
<th>Nodes</th>
<th>Edges</th>
<th>Timestamps</th>
<th>Description</th>
</tr>
<tr>
<td><a href="traffic/traffic20141201.csv">traffic20141201</a></td>
<td>Undirected</td>
<td>1,002</td>
<td>479,808</td>
<td>96</td>
<td>High Agency network from DATA.GOV.UK</td>
</tr>
<tr>
<td><a href="traffic/traffic20141202.csv">traffic20141202</a></td>
<td>Undirected</td>
<td>1,002</td>
<td>479,808</td>
<td>96</td>
<td>High Agency network from DATA.GOV.UK</td>
</tr>
<tr>
<td><a href="traffic/traffic20141203.csv">traffic20141203</a></td>
<td>Undirected</td>
<td>1,002</td>
<td>479,808</td>
<td>96</td>
<td>High Agency network from DATA.GOV.UK</td>
</tr>
<tr>
<td><a href="traffic/traffic20141204.csv">traffic20141204</a></td>
<td>Undirected</td>
<td>1,002</td>
<td>479,808</td>
<td>96</td>
<td>High Agency network from DATA.GOV.UK</td>
</tr>
</table>
<!-- Twitter Network -->
<a name="twitter"></a><h3>Twitter networks</h3>
<table id="datatab2" summary="Table of datasets" border=1>
<tr>
<th>Name</th>
<th>Type</a></th>
<th>Nodes</th>
<th>Edges</th>
<th>Timestamps</th>
<th>Description</th>
</tr>
<tr>
<td><a href="twitter/manunited_cont.csv">manunited_cont</a></td>
<td>Directed</td>
<td>148,918</td>
<td>298,335</td>
<td>37,581</td>
<td>Strathclyde MUFC Twitter Dataset</td>
</tr>
</table>
<p><b>Reference:</b>
D. J. Higham, P. Grindrod, A. V. Mantzaris, A. Otley and P, Laflin,
Anticipating Activity in Social Media Spikes, Technical Report, 2014.</p>
<!-- Citation Network -->
<a name="citation"></a><h3>Citation networks</h3>
<table id="datatab2" summary="Table of datasets" border=1>
<tr>
<th>Name</th>
<th>Type</a></th>
<th>Nodes</th>
<th>Edges</th>
<th>Timestamps</th>
<th>Description</th>
</tr>
<tr>
<td><a href="citation/graph_paper.csv">graph_paper</a></td>
<td>Directed</td>
<td>32</td>
<td>172</td>
<td>4</td>
<td>The corresponding reference papers can be found
<a href ="citation/cite.bib">here</a></td>
</tr>
</table>
<p>Created on May 20, 2015 by <a href="http://www.maths.manchester.ac.uk/~weijian/"> Weijian Zhang</a>. Last update on June 16, 2015.
</BODY>