<?xml version="1.0" encoding="UTF-8"?><statisticsmodel><!--Persistence from 'statisticsmodel' (org.gephi.statistics.StatisticsPersistenceProvider)--><reports><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 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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.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: 0.639&lt;br&gt;Modularity with resolution: 0.639&lt;br&gt;Number of Communities: 6&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.Hits" value="&lt;HTML&gt; &lt;BODY&gt; &lt;h1&gt; HITS Metric Report &lt;/h1&gt;&lt;hr&gt;&lt;br /&gt;&lt;h2&gt; Parameters: &lt;/h2&gt;  &amp;#917; = 1.0E-4&lt;br /&gt; &lt;h2&gt; Results: &lt;/h2&gt;&lt;br /&gt;&lt;IMG 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WIDTH=&quot;600&quot; HEIGHT=&quot;400&quot; BORDER=&quot;0&quot; USEMAP=&quot;#chart&quot;&gt;&lt;/IMG&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;Jon M. Kleinberg, &lt;i&gt;Authoritative Sources in a Hyperlinked Environment&lt;/i&gt;, in Journal of the ACM 46 (5): 604–632 (1999)&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: 226.384&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.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: 0.966&lt;br /&gt;Total triangles: 2044728&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.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: 0.928&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: 1&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.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: 5.971294622378193E-4&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.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: 0.238&lt;br /&gt;&lt;br /&gt;&lt;IMG 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&quot; 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