RT Journal Article
T1 Fuzzy measures: a solution to deal with community detection problems for networks with additional information
A1 Gutiérrez García-Pardo, Inmaculada
A1 Gómez González, Daniel
A1 Castro Cantalejo, Javier
A1 Espínola Vílchez, María Rosario
A2 Kahraman, Cengiz
AB In this work we introduce the notion of the weighted graph associated with a fuzzy measure. Having a finite set of elements between which there exists an affinity fuzzy relation, we propose the definition of a group based on that affinity fuzzy relation between the individuals. Then, we propose an algorithm based on the Louvain’s method to deal with community detection problems with additional information independent of the graph. We also provide a particular method to solve community detection problems over extended fuzzy graphs. Finally, we test the performance of our proposal by means of some detailed computational tests calculated in several benchmark models.
PB IOS Press
SN 1064-1246
YR 2020
FD 2020-11-19
LK https://hdl.handle.net/20.500.14352/99999
UL https://hdl.handle.net/20.500.14352/99999
LA eng
NO Gutiérrez, Inmaculada et al. ‘Fuzzy Measures: A Solution to Deal with Community Detection Problems for Networks with Additional Information’. 1 Jan. 2020 : 6217 – 6230
NO Government of Spain, Grant Plan Nacional de I+D+i
DS Docta Complutense
RD 21 ago 2024