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Fuzzy Community detection based on grouping and overlapping functions

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Gómez, Daniel and Rodríguez, Juan Tinguaro and Yáñez, Javier and 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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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.


Item Type:Book Section
Additional Information:

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

Uncontrolled Keywords:Overlaps functions; Grouping functions; Community detection
Subjects:Sciences > Mathematics > Mathematical statistics
ID Code:32933
Deposited On:27 Aug 2015 11:53
Last Modified:02 Jun 2016 15:08

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