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radial.html
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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>well-formed.eigenfactor.org : Citation patterns</title>
<meta property="og:image" content="http://well-formed.eigenfactor.org/img/radial.png" />
<meta name="description" content="Information-aesthetic explorations of emerging patterns in scientific citation networks. A cooperation between the Eigenfactor® Project (data analysis) and Moritz Stefaner (visualization).">
<link rel="stylesheet" type="text/css" href="common.css">
</head>
<body>
<div class="header">
<div id="cHeader_navigation">
<a href="//eigenfactor.org"> Home </a> >
<a href="//eigenfactor.org/projects.php"> Projects </a> >
<a href="//eigenfactor.org/projects/researchArea_2.php"> Mapping Science</a>
</div>
<h1>
<a href="./">well-formed . eigenfactor</a>
</h1>
<ul class="menu">
<li>
<a href="./">
<span>Home</span>
</a>
</li>
<li>
<a class="active" href="radial.html">
<span>Citation patterns</span>
</a>
</li>
<li>
<a href="time.html">
<span>Change over time</span>
</a>
</li>
<li>
<a href="treemap.html">
<span>Clustering</span>
</a>
</li>
<li>
<a href="map.html">
<span>Map</span>
</a>
</li>
</ul>
</div>
<div class="content grid">
<p class="info-text-1">
<strong>Visualization</strong>
This visualization provides an overview of the whole citation network. The colors represent the four main groups of journals,
which are further subdivided into fields in the outer ring. The segments of the inner ring represent the individual journals,
scaled by Eigenfactor™ Score. In the initial view, the top 1000 citation links are plotted. Line size and opacity
represents connection strength. The Bezier curves follow the hierarchical cluster structure, using the
<a href="http://www.win.tue.nl/~dholten/papers/bundles_infovis.pdf">hierarchical edge bundling technique (pdf)</a>. Selecting a single journal (inner ring) or whole field (outer ring) displays
all citation flow coming in or out of the selection. The color is based on the cluster color of the origin node.
</p>
<p class="info-text-2">
<strong>Data set</strong>
We use a subset of the citation data from
<a href="http://www.thomsonreuters.com/products_services/scientific/Journal_Citation_Reports">Thomson Reuters' Journal Citation Reports</a> 1997–2005. The complete data aggregate, at the journal level, approximately
60,000,000 citations from more than 7000 journals over the past decade. For an interesting subset, we select journals
ordered by their
<a href="http://www.eigenfactor.org/methods.htm">Article Influence™</a> in 2005, but include no more than 25 journals from a single field. To make the subset coherent,
we make sure that selected journals are included all years and that we cover the 10 journals with highest
<a href="http://www.eigenfactor.org/methods.htm">Eigenfactor</a>™ score. To cluster the networks, we use the information-theoretic method presented in
<a href="http://arxiv.org/abs/0707.0609">Maps of information flow reveal community structure in complex networks</a> (
<a href="http://dx.doi.org/10.1073/pnas.0706851105">PNAS 105, 1118 (2008)</a>), which can reveal regularities of information flow across directed and weighted networks.
</p>
<iframe class="vis" src="radial_vis.html" scrolling="no"></iframe>
</div>
</body>
</html>