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Comparative analysis on the selection of number of clusters in community detection
2018
Physical review. E
We conduct a comparative analysis on various estimates of the number of clusters in community detection. An exhaustive comparison requires testing of all possible combinations of frameworks, algorithms, and assessment criteria. In this paper we focus on the framework based on a stochastic block model, and investigate the performance of greedy algorithms, statistical inference, and spectral methods. For the assessment criteria, we consider modularity, map equation, Bethe free energy, prediction
doi:10.1103/physreve.97.022315
pmid:29548181
fatcat:xeyf2sk5jze7xgjojqvw5dke3u