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• W2050601254 abstract "Identifying overlapping communities in networks is a challenging task. In this work we present a probabilistic approach to community detection that utilizes a Bayesian non-negative matrix factorization model to extract overlapping modules from a network. The scheme has the advantage of soft-partitioning solutions, assignment of node participation scores to modules, and an intuitive foundation. We present the performance of the method against a variety of benchmark problems and compare and contrast it to several other algorithms for community detection." @default.
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• W2050601254 date "2011-06-22" @default.
• W2050601254 modified "2023-10-11" @default.
• W2050601254 title "Overlapping community detection using Bayesian non-negative matrix factorization" @default.
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• W2050601254 doi "https://doi.org/10.1103/physreve.83.066114" @default.
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