Multiple bipolar fuzzy measures: an application to community detection problems for networks with additional information
dc.contributor.author | Gutiérrez García-Pardo, Inmaculada | |
dc.contributor.author | Gómez González, Daniel | |
dc.contributor.author | Castro Cantalejo, Javier | |
dc.contributor.author | Espínola Vílchez, María Rosario | |
dc.date.accessioned | 2024-02-07T15:10:52Z | |
dc.date.available | 2024-02-07T15:10:52Z | |
dc.date.issued | 2020-10-22 | |
dc.description.abstract | In this paper we introduce the concept of multiple bipolar fuzzy measures as a generalization of a bipolar fuzzy measure. We also propose a new definition of a group, which is based on the multidimensional bipolar fuzzy relations of its elements. Taking into account this information, we provide a novel procedure (based on the well-known Louvain algorithm) to deal with community detection problems. This new method considers the multidimensional bipolar information provided by multiple bipolar fuzzy measures, as well as the information provided by a graph. We also give some detailed computational tests, obtained from the application of this algorithm in several benchmark models. | |
dc.description.department | Depto. de Estadística y Ciencia de los Datos | |
dc.description.faculty | Fac. de Estudios Estadísticos | |
dc.description.refereed | TRUE | |
dc.description.status | pub | |
dc.identifier.citation | Gutiérrez, I., Gómez, D., Castro, J. et al. Multiple Bipolar Fuzzy Measures: An Application to Community Detection Problems for Networks with Additional Information. Int J Comput Intell Syst 13, 1636–1649 (2020). https://doi.org/10.2991/ijcis.d.201012.001 | |
dc.identifier.doi | 10.2991/ijcis.d.201012.001 | |
dc.identifier.essn | 1875-6883 | |
dc.identifier.issn | 875-6891 | |
dc.identifier.officialurl | https://link.springer.com/article/10.2991/ijcis.d.201012.001 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14352/100039 | |
dc.issue.number | 1 | |
dc.journal.title | International Journal of Computational Intelligence Systems | |
dc.language.iso | eng | |
dc.page.final | 1649 | |
dc.page.initial | 1636 | |
dc.publisher | Atlantis Press, Springer | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//MTM2015-70550-P/ES/ANALISIS JUEGO-TEORICO DE LAS REDES SOCIALES/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-096509-B-I00/ES/GESTION INTELIGENTE DE INFORMACION BORROSA/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2015-66471-P/ES/TECNICAS DE OBTENCION, PROCESAMIENTO Y REPRESENTACION DE INFORMACION DIFUSA PARA LA TOMA DE DECISIONES/ | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject.cdu | 519.22-7 | |
dc.subject.cdu | 004.6 | |
dc.subject.keyword | Networks | |
dc.subject.keyword | Community detection | |
dc.subject.keyword | Bipolar fuzzy graph | |
dc.subject.keyword | Extended bipolar fuzzy graphs | |
dc.subject.keyword | Multiple bipolar fuzzy graph | |
dc.subject.keyword | Extended multiple bipolar fuzzy graphs | |
dc.subject.keyword | Louvain algorithm | |
dc.subject.ucm | Estadística aplicada | |
dc.subject.unesco | 1209.03 Análisis de Datos | |
dc.subject.unesco | 1209 Estadística | |
dc.title | Multiple bipolar fuzzy measures: an application to community detection problems for networks with additional information | |
dc.type | journal article | |
dc.type.hasVersion | VoR | |
dc.volume.number | 13 | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 2f4cd183-2dd2-4b4e-8561-9086ff5c0b90 | |
relation.isAuthorOfPublication | 4dcf8c54-8545-4232-8acf-c163330fd0fe | |
relation.isAuthorOfPublication | e556dae6-6552-4157-b98a-904f3f7c9101 | |
relation.isAuthorOfPublication | 843bc5ed-b523-401d-98ed-6cb00a801c31 | |
relation.isAuthorOfPublication.latestForDiscovery | 2f4cd183-2dd2-4b4e-8561-9086ff5c0b90 |
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