<?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.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: 15.308&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.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: 1.1657152900981793E-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.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: 3&lt;br /&gt;Radius: 2&lt;br /&gt;Average Path length: 1.4707692307692308&lt;br /&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;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><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: 0.769&lt;br /&gt;Total triangles: 700&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: 0.612&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: 1024.563&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.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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&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;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.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: 0.359&lt;br&gt;Modularity with resolution: 0.359&lt;br&gt;Number of Communities: 4&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.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></reports></statisticsmodel>