Relationships between raw and realized modularity

2013-08-07T14:14:32Z (GMT) by Timothée Poisot
<p>Relationships between raw and realized modularity for 290 networks, including the results of null models</p> <p><strong>results.dat<br></strong></p> <p><strong>w</strong> - web number</p> <p><strong>q</strong> - raw (Louvain) modularity</p> <p><strong>nm</strong> - number of modules</p> <p><strong>qr</strong> - realized modularity</p> <p><strong>ed</strong> - number of edges</p> <p><strong>no</strong> - number of nodes</p> <p><strong>co</strong> - connectance</p> <p><strong>qe</strong> - random expectation of Louvain modularity</p> <p><strong>eqe</strong> - variance of the random modularity expectation</p> <p><strong>qre</strong> - random expectation of realised modularity</p> <p><strong>eqre</strong> - variance of the random realized modularity expectation</p> <p><strong>rq</strong> - rank (based on modularity)</p> <p><strong>rqr</strong> - ranked (based on realized modularity)</p> <p><strong>dq</strong> - empirical - random modularity</p> <p><strong>dqr </strong>- empirical - random realized modularity</p> <p> </p> <p><strong>altmeasures.dat</strong></p> <p><strong>w</strong> - network (unipartite) number</p> <p>Wa(R) - modularity and realized modularity with the walktrap method</p> <p><strong>Sp(R)</strong> - with the spinglass algorithm</p> <p><strong>Eb(R)</strong> - with the edge-betweenness method</p>

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