<?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:  1.0&lt;br>&lt;br> &lt;h2> Results: &lt;/h2>Modularity: 0.169&lt;br>Modularity with resolution: 0.169&lt;br>Number of Communities: 4&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>