<?xml version="1.0" encoding="UTF-8"?><statisticsmodel><!--Persistence from 'statisticsmodel' (org.gephi.statistics.StatisticsPersistenceProvider)--><reports><report class="org.gephi.statistics.plugin.GraphDensity" value="&lt;HTML&gt; &lt;BODY&gt; &lt;h1&gt;Graph Density  Report &lt;/h1&gt; &lt;hr&gt;&lt;br&gt;&lt;h2&gt; Parameters: &lt;/h2&gt;Network Interpretation:  undirected&lt;br&gt;&lt;br&gt; &lt;h2&gt; Results: &lt;/h2&gt;Density: 0.027&lt;/BODY&gt;&lt;/HTML&gt;"></report><report class="org.gephi.statistics.plugin.EigenvectorCentrality" value="&lt;HTML&gt; &lt;BODY&gt; &lt;h1&gt;Eigenvector Centrality Report&lt;/h1&gt; &lt;hr&gt;&lt;h2&gt; Parameters: &lt;/h2&gt;Network Interpretation:  undirected&lt;br&gt;Number of iterations: 100&lt;br&gt;Sum change: 0.024510356591986075&lt;br&gt; &lt;h2&gt; Results: &lt;/h2&gt;&lt;IMG 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&quot; WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;&gt;&lt;/IMG&gt;&lt;/BODY&gt;&lt;/HTML&gt;"></report><report class="org.gephi.statistics.plugin.ClusteringCoefficient" value="&lt;HTML&gt; &lt;BODY&gt; &lt;h1&gt; Clustering Coefficient Metric Report &lt;/h1&gt; &lt;hr&gt;&lt;br /&gt;&lt;h2&gt; Parameters: &lt;/h2&gt;Network Interpretation:  undirected&lt;br /&gt;&lt;br&gt;&lt;h2&gt; Results: &lt;/h2&gt;Average Clustering Coefficient: 0.616&lt;br /&gt;Total triangles: 1886&lt;br /&gt;The Average Clustering Coefficient is the mean value of individual coefficients.&lt;br /&gt;&lt;br /&gt;&lt;IMG 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&quot; WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;&gt;&lt;/IMG&gt;&lt;br /&gt;&lt;br /&gt;&lt;h2&gt; Algorithm: &lt;/h2&gt;Matthieu Latapy, &lt;i&gt;Main-memory Triangle Computations for Very Large (Sparse (Power-Law)) Graphs&lt;/i&gt;, in Theoretical Computer Science (TCS) 407 (1-3), pages 458-473, 2008&lt;br /&gt;&lt;/BODY&gt; &lt;/HTML&gt;"></report><report class="org.gephi.statistics.plugin.ConnectedComponents" value="&lt;HTML&gt; &lt;BODY&gt; &lt;h1&gt;Connected Components Report &lt;/h1&gt; &lt;hr&gt;&lt;br&gt;&lt;h2&gt; Parameters: &lt;/h2&gt;Network Interpretation:  undirected&lt;br&gt;&lt;br&gt; &lt;h2&gt; Results: &lt;/h2&gt;Number of Weakly Connected Components: 91&lt;br&gt;&lt;br /&gt;&lt;br /&gt;&lt;IMG 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&quot; WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;&gt;&lt;/IMG&gt;&lt;br /&gt;&lt;h2&gt; Algorithm: &lt;/h2&gt;Robert Tarjan, &lt;i&gt;Depth-First Search and Linear Graph Algorithms&lt;/i&gt;, in SIAM Journal on Computing 1 (2): 146–160 (1972)&lt;br /&gt;&lt;/BODY&gt; &lt;/HTML&gt;"></report><report class="org.gephi.statistics.plugin.PageRank" value="&lt;HTML&gt; &lt;BODY&gt; &lt;h1&gt;PageRank Report &lt;/h1&gt; &lt;hr&gt; &lt;br /&gt;&lt;h2&gt; Parameters: &lt;/h2&gt;Epsilon = 0.001&lt;br&gt;Probability = 0.85&lt;br&gt; &lt;h2&gt; Results: &lt;/h2&gt;&lt;IMG SRC=&quot;data:image/png;base64,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&quot; WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;&gt;&lt;/IMG&gt;&lt;br /&gt;&lt;br /&gt;&lt;h2&gt; Algorithm: &lt;/h2&gt;Sergey Brin, Lawrence Page, &lt;i&gt;The Anatomy of a Large-Scale Hypertextual Web Search Engine&lt;/i&gt;, in Proceedings of the seventh International Conference on the World Wide Web (WWW1998):107-117&lt;br /&gt;&lt;/BODY&gt; &lt;/HTML&gt;"></report><report class="org.gephi.statistics.plugin.Degree" value="&lt;HTML&gt; &lt;BODY&gt; &lt;h1&gt;Degree Report &lt;/h1&gt; &lt;hr&gt;&lt;br&gt; &lt;h2&gt; Results: &lt;/h2&gt;Average Degree: 6.702&lt;br /&gt;&lt;br /&gt;&lt;IMG 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&quot; WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;&gt;&lt;/IMG&gt;&lt;/BODY&gt;&lt;/HTML&gt;"></report><report class="org.gephi.statistics.plugin.WeightedDegree" value="&lt;HTML&gt; &lt;BODY&gt; &lt;h1&gt;Weighted Degree Report &lt;/h1&gt; &lt;hr&gt;&lt;br&gt; &lt;h2&gt; Results: &lt;/h2&gt;Average Weighted Degree: 0.445&lt;br /&gt;&lt;br /&gt;&lt;IMG 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&quot; WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;&gt;&lt;/IMG&gt;&lt;/BODY&gt;&lt;/HTML&gt;"></report><report class="org.gephi.statistics.plugin.Modularity" value="&lt;HTML&gt; &lt;BODY&gt; &lt;h1&gt;Modularity Report &lt;/h1&gt; &lt;hr&gt;&lt;h2&gt; Parameters: &lt;/h2&gt;Randomize:  On&lt;br&gt;Use edge weights:  On&lt;br&gt;Resolution:  1.0&lt;br&gt;&lt;br&gt; &lt;h2&gt; Results: &lt;/h2&gt;Modularity: 0.690&lt;br&gt;Modularity with resolution: 0.690&lt;br&gt;Number of Communities: 95&lt;br /&gt;&lt;br /&gt;&lt;IMG 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&quot; WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;&gt;&lt;/IMG&gt;&lt;br /&gt;&lt;br /&gt;&lt;h2&gt; Algorithm: &lt;/h2&gt;Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, Etienne Lefebvre, &lt;i&gt;Fast unfolding of communities in large networks&lt;/i&gt;, in Journal of Statistical Mechanics: Theory and Experiment 2008 (10), P1000&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;h2&gt; Resolution: &lt;/h2&gt;R. Lambiotte, J.-C. Delvenne, M. Barahona &lt;i&gt;Laplacian Dynamics and Multiscale Modular Structure in Networks 2009&lt;br /&gt;&lt;/BODY&gt; &lt;/HTML&gt;"></report><report class="org.gephi.statistics.plugin.GraphDistance" value="&lt;HTML&gt; &lt;BODY&gt; &lt;h1&gt;Graph Distance  Report &lt;/h1&gt; &lt;hr&gt;&lt;br&gt;&lt;h2&gt; Parameters: &lt;/h2&gt;Network Interpretation:  undirected&lt;br /&gt;&lt;br /&gt; &lt;h2&gt; Results: &lt;/h2&gt;Diameter: 8&lt;br /&gt;Radius: 0&lt;br /&gt;Average Path length: 3.244620611551529&lt;br /&gt;&lt;IMG 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&quot; WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;&gt;&lt;/IMG&gt;&lt;br /&gt;&lt;br /&gt;&lt;IMG 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&quot; WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;&gt;&lt;/IMG&gt;&lt;br /&gt;&lt;br /&gt;&lt;IMG 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&quot; WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;&gt;&lt;/IMG&gt;&lt;br /&gt;&lt;br /&gt;&lt;IMG 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&quot; WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;&gt;&lt;/IMG&gt;&lt;br /&gt;&lt;br /&gt;&lt;h2&gt; Algorithm: &lt;/h2&gt;Ulrik Brandes, &lt;i&gt;A Faster Algorithm for Betweenness Centrality&lt;/i&gt;, in Journal of Mathematical Sociology 25(2):163-177, (2001)&lt;br /&gt;&lt;/BODY&gt; &lt;/HTML&gt;"></report></reports></statisticsmodel>