2026-06-01T01:29:43Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/1078372024-09-03T07:29:58Zcom_20.500.14352_14col_20.500.14352_20

A new community detection problem based on bipolar fuzzy measures Gutiérrez García-Pardo, Inmaculada Gómez González, Daniel Castro Cantalejo, Javier Espínola Vílchez, María Rosario 316.635 519.2 519.22-7 004.6 Bipolar fuzzy clustering Bipolar fuzzy graph Community detection Networks Estadística Redes Estadística aplicada 1209 Estadística 1209.03 Análisis de Datos 1203.17 Informática Colección de libros: Studies in Computational Intelligence ((SCI,volume 955)) In social network research, one of the most important analysis is community detection. Fuzzy uncertainty appears clearly when modeling real situations by means of networks. Nevertheless, most of the algorithms used to detect communities in graphs represent them as something crisp. Due to its speed and efficiency, Louvain algorithm is one of the most popular methods used to find clusters in crisp networks. In this study, we propose a modification of it, based on the incorporation of a bipolar fuzzy measure defined over the nodes of the network. Our proposal is based on the use of the Shapley value, which is considered to measure the importance of each node. Gobierno de España. Secretaría de Estado de Investigacion, Desarrollo e Innovacion Depto. de Estadística y Ciencia de los Datos Fac. de Estudios Estadísticos TRUE pub 2024-09-03T07:29:58Z 2024-09-03T07:29:58Z 2022 conference paper VoR https://hdl.handle.net/20.500.14352/107837 1860-949X 10.1007/978-3-030-88817-6_11 1860-9503 eng MTM2015-70550-P PGC2018096509-B-I00 TIN2015-66471-P Gutiérrez, Inmaculada, Daniel Gómez, Javier Castro, y Rosa Espínola. «A New Community Detection Problem Based on Bipolar Fuzzy Measures». En Studies in Computational Intelligence, 955:91-99. Springer Science and Business Media Deutschland GmbH, 2022. https://doi.org/10.1007/978-3-030-88817-6_11 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ metadata only access