RT Book, Section
T1 Fuzzy Community detection based on grouping and overlapping functions
A1 Gómez González, Daniel
A1 Rodríguez González, Juan Tinguaro
A1 Yáñez Gestoso, Francisco Javier
A1 Montero De Juan, Francisco Javier
AB 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.
PB Atlantis Press
SN 978-94-62520-77-6
YR 2015
FD 2015
LK https://hdl.handle.net/20.500.14352/35772
UL https://hdl.handle.net/20.500.14352/35772
LA eng
NO 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
NO Gobierno de España
NO Comunidad de Madrid
NO Universidad Complutense de Madrid
DS Docta Complutense
RD 9 abr 2025