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Fuzzy Community detection based on grouping and overlapping functions

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Gómez, Daniel y Rodríguez, Juan Tinguaro y Yáñez, Javier y Montero, Javier (2015) Fuzzy Community detection based on grouping and overlapping functions. In Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology. Advances in Intelligent Systems Research (89). Atlantis Press, pp. 1514-1519. ISBN 978-94-62520-77-6

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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.


Tipo de documento:Sección de libro
Información Adicional:

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

Palabras clave:Overlaps functions; Grouping functions; Community detection
Materias:Ciencias > Matemáticas > Estadística matemática
Código ID:32933
Depositado:27 Aug 2015 11:53
Última Modificación:02 Jun 2016 15:08

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