<?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: 0.589&lt;br>Modularity with resolution: 1.536&lt;br>Number of Communities: 3&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>