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Fuzzy Community detection based on grouping and overlapping functions

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2015

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Atlantis Press
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https://hdl.handle.net/20.500.14352/35772

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Abstract

One of the main challenges of fuzzy community detection problems is to be able to measure the quality of a fuzzy partition. In this paper, we present an alternative way of measure the quality of a fuzzy community detection output based on n-dimensional grouping and overlapping functions that generalize the classical modularity for crisp community detection problems and also for crisp overlapping community detection problems.

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16th World Congress of the International-Fuzzy-Systems-Association (IFSA) / 9th Conference of the European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT), Gijon, SPAIN, JUN 30-JUL 03, 2015

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Estadística matemática (Matemáticas)

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1209 Estadística

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