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<!DOCTYPE html>
<html>
<head>
<script>
(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
})(window,document,'script','//www.google-analytics.com/analytics.js','ga');
ga('create', 'UA-45051488-1', 'bit.ly');
ga('send', 'pageview');
</script>
</head>
<body>
<h1>Home</h1>
<div>
<p>
<i>"The world is one just so far as its parts
hang together by any definite connexion. It is many just so far as any definite
connexion fails to obtain. And finally it is growing more and more
unified by those systems of connexion at least which human energy keeps
framing as time goes on." </i> <br>
<div style="text-align:right">William James, <b>Pragmatism: A New Name for Some Old Ways of Thinking</b>, <i>Lecture IV: The One and the Many</i>, 1907.</div>
</p>
</div>
<h2>Research Interests</h2>
<p>
Understanding the world in its complexity is a fascination which questions the place of human beings in the whole system. We do so by capturing the reminiscences of our interactions
with the world and yet we merely grasp its comprehension. Often in our attempts to observe the world, we look at these precise interactions, at the level of which, networks appear
to be an excellent means of study. We can visualize them, manipulate them, and analyse them. They are abstract structures and yet easy to visually interpret, almost as if they were
tangible objects. Graph theory provides us strong means of analysis of networks, and their visualization challenges us in exploring them.<br/> I am fascinated by the explanatory power
of such models, and my research aims at using the most adequate tools from theory to visualization to empower understanding of complex phenomena. I intend to confront my work with
as many application domains possible, each enriching our research with a new set of questions and challenges pushing further our work.
</p>
<ul>
<li>Network analysis</li>
<li>Complex networks</li>
<li>Visual analytics</li>
<li>Data analysis</li>
<li>Information visualization</li>
</ul>
<h2>Demos</h2>
User guide: <a href="pub/guide.pdf" target="_blank" >PDF</a>
<ul><li><a href="http://tulipposy.labri.fr:31497/?graphurl=./data/university.json" target="_blank" >INA's documents and keywords: <i>higher education</i></a></li>
<li><a href="http://tulipposy.labri.fr:31497/" target="_blank" >Social network and groups: <i>Paul Revere's ride</i></a></li>
<li><a href="http://tulipposy.labri.fr:31497/?graphurl=./data/infovis2004.json" target="_blank" >Co-authoring network:<i>InfoVis2004 Contest</i></a></li>
<br/>
<li>Video demo (early prototype): <a class='highslide' href='http://www.youtube.com/embed/IWGY0zycxso?rel=0&wmode=transparent' title=""
onclick="return hs.htmlExpand(this, {objectType: 'iframe', width: 480, height: 385,
allowSizeReduction: false, wrapperClassName: 'draggable-header no-footer',
preserveContent: false, objectLoadTime: 'after'})">
<img src='gallery/demo1_thumb.jpg' height=100 style="vertical-align:middle" alt=''/></a></li>
</ul>
</body>
</html>