Multiple bipolar fuzzy measures: an application to community detection problems for networks with additional information

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dc.contributor.authorGutiérrez García-Pardo, Inmaculada
dc.contributor.authorGómez González, Daniel
dc.contributor.authorCastro Cantalejo, Javier
dc.contributor.authorEspínola Vílchez, María Rosario
dc.date.accessioned2024-02-07T15:10:52Z
dc.date.available2024-02-07T15:10:52Z
dc.date.issued2020-10-22
dc.description.abstractIn 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.departmentDepto. de Estadística y Ciencia de los Datos
dc.description.facultyFac. de Estudios Estadísticos
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationGutiérrez, 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.doi10.2991/ijcis.d.201012.001
dc.identifier.essn1875-6883
dc.identifier.issn875-6891
dc.identifier.officialurlhttps://link.springer.com/article/10.2991/ijcis.d.201012.001
dc.identifier.urihttps://hdl.handle.net/20.500.14352/100039
dc.issue.number1
dc.journal.titleInternational Journal of Computational Intelligence Systems
dc.language.isoeng
dc.page.final1649
dc.page.initial1636
dc.publisherAtlantis Press, Springer
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//MTM2015-70550-P/ES/ANALISIS JUEGO-TEORICO DE LAS REDES SOCIALES/
dc.relation.projectIDinfo: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.projectIDinfo:eu-repo/grantAgreement/MINECO//TIN2015-66471-P/ES/TECNICAS DE OBTENCION, PROCESAMIENTO Y REPRESENTACION DE INFORMACION DIFUSA PARA LA TOMA DE DECISIONES/
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu519.22-7
dc.subject.cdu004.6
dc.subject.keywordNetworks
dc.subject.keywordCommunity detection
dc.subject.keywordBipolar fuzzy graph
dc.subject.keywordExtended bipolar fuzzy graphs
dc.subject.keywordMultiple bipolar fuzzy graph
dc.subject.keywordExtended multiple bipolar fuzzy graphs
dc.subject.keywordLouvain algorithm
dc.subject.ucmEstadística aplicada
dc.subject.unesco1209.03 Análisis de Datos
dc.subject.unesco1209 Estadística
dc.titleMultiple bipolar fuzzy measures: an application to community detection problems for networks with additional information
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number13
dspace.entity.typePublication
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