A new community detection problem based on bipolar fuzzy measures
| dc.conference.date | 2-5 October 2019 | |
| dc.conference.place | Toledo | |
| dc.conference.title | 11th European Symposium on Computational Intelligence and Mathematics, ESCIM 2019 | |
| 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 | 2024-09-03T07:29:58Z | |
| dc.date.available | 2024-09-03T07:29:58Z | |
| dc.date.issued | 2022 | |
| dc.description | Colección de libros: Studies in Computational Intelligence ((SCI,volume 955)) | |
| dc.description.abstract | 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. | |
| dc.description.department | Depto. de Estadística y Ciencia de los Datos | |
| dc.description.faculty | Fac. de Estudios Estadísticos | |
| dc.description.refereed | TRUE | |
| dc.description.sponsorship | Gobierno de España. Secretaría de Estado de Investigacion, Desarrollo e Innovacion | |
| dc.description.status | pub | |
| dc.identifier.citation | 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 | |
| dc.identifier.doi | 10.1007/978-3-030-88817-6_11 | |
| dc.identifier.essn | 1860-9503 | |
| dc.identifier.isbn | 978-3-030-88817-6 | |
| dc.identifier.issn | 1860-949X | |
| dc.identifier.officialurl | https://doi.org/10.1007/978-3-030-88817-6_11 | |
| dc.identifier.relatedurl | https://link.springer.com/chapter/10.1007/978-3-030-88817-6_11 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/107837 | |
| dc.language.iso | eng | |
| dc.page.final | 99 | |
| dc.page.initial | 91 | |
| dc.relation.projectID | MTM2015-70550-P | |
| dc.relation.projectID | PGC2018096509-B-I00 | |
| dc.relation.projectID | TIN2015-66471-P | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.accessRights | metadata only access | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject.cdu | 316.635 | |
| dc.subject.cdu | 519.2 | |
| dc.subject.cdu | 519.22-7 | |
| dc.subject.cdu | 004.6 | |
| dc.subject.keyword | Bipolar fuzzy clustering | |
| dc.subject.keyword | Bipolar fuzzy graph | |
| dc.subject.keyword | Community detection | |
| dc.subject.keyword | Networks | |
| dc.subject.ucm | Estadística | |
| dc.subject.ucm | Redes | |
| dc.subject.ucm | Estadística aplicada | |
| dc.subject.unesco | 1209 Estadística | |
| dc.subject.unesco | 1209.03 Análisis de Datos | |
| dc.subject.unesco | 1203.17 Informática | |
| dc.title | A new community detection problem based on bipolar fuzzy measures | |
| dc.type | conference paper | |
| dc.type.hasVersion | VoR | |
| dspace.entity.type | Publication | |
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