<?xml version='1.0' encoding='UTF-8'?><statisticsmodel><!--Persistence from 'statisticsmodel' (org.gephi.statistics.StatisticsPersistenceProvider)--><reports><report class="org.gephi.statistics.plugin.Modularity" value="&lt;HTML> &lt;BODY> &lt;h1>Modularity Report &lt;/h1> &lt;hr>&lt;h2> Parameters: &lt;/h2>Randomize:  On&lt;br>Use edge weights:  On&lt;br>Resolution:  2.0&lt;br>&lt;br> &lt;h2> Results: &lt;/h2>Modularity: 0.349&lt;br>Modularity with resolution: 1.251&lt;br>Number of Communities: 2&lt;br />&lt;br />&lt;IMG 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&quot; WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;>&lt;/IMG>&lt;br />&lt;br />&lt;h2> Algorithm: &lt;/h2>Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, Etienne Lefebvre, &lt;i>Fast unfolding of communities in large networks&lt;/i>, in Journal of Statistical Mechanics: Theory and Experiment 2008 (10), P1000&lt;br />&lt;br />&lt;br />&lt;h2> Resolution: &lt;/h2>R. Lambiotte, J.-C. Delvenne, M. Barahona &lt;i>Laplacian Dynamics and Multiscale Modular Structure in Networks 2009&lt;br />&lt;/BODY> &lt;/HTML>"/></reports></statisticsmodel>