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In this approach we use an evolutionary algorithm to find the first community structure that maximizes the modularity.
In the second step we propose a strategy to merge these initial groups to identify the final community structure (with k communities or the structure that maximizes the modularity in Community Detection Based on Node Similarity and Modularity Q (ComDBNSQ)).
The cluster number for SPB is set to 319 that maximizes the modularity.
Next, to demonstrate how a β factor of 1.4 is selected, the effects of β on the modularity are illustrated in Figure 2, where the cluster number that maximizes the modularity at each β is plotted with respect to β.
In Newman's algorithm that maximizes the modularity over the set of strict partitions (Newman, 2006), the starting point is the set of singletons in V.
The goal is to find a set of assignments, represented by a binary vector s, that maximizes the modularity score [ 28].
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The merging process is stopped either by setting the expected number of clusters, or by bounding the maximal cluster's cardinality or by maximizing the modularity.
The communities were identified using the network-theoretical community detection algorithm for maximizing the modularity.
Different heuristic approaches have been proposed for computing partitions that maximize the modularity.
The best partition of a graph is the one that maximize the modularity.
In the merging process, subgroup pairs are iteratively merged to identify the final community structure maximizing the modularity.
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