Polarization measures in bi-partition networks based on fuzzy graphs
| dc.conference.date | 11-15 jul 2022 | |
| dc.conference.place | Milán, Italia | |
| dc.conference.title | Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2022) | |
| dc.contributor.author | Simón de Blas, Clara | |
| dc.contributor.author | Guevara Gil, Juan Antonio | |
| dc.contributor.author | Morillo, Jaime | |
| dc.contributor.author | Gómez González, Daniel | |
| dc.date.accessioned | 2024-05-24T15:11:02Z | |
| dc.date.available | 2024-05-24T15:11:02Z | |
| dc.date.issued | 2022 | |
| dc.description | Communications in Computer and Information Science, 1601 CCIS | |
| dc.description.abstract | Abstract: In this paper we extend the definition of polarization in a network, by defining a new measure in fuzzy graphs. We will focus on the case of two communities in a fuzzy context. We present a well known problem in real life social networks to compare our results with the crisp case. Results shows improvements in detecting polarization masked in a crisp context. | |
| 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 | |
| dc.description.status | pub | |
| dc.identifier.citation | Simón de Blas, C. et al. (2022) «Polarization Measures in Bi-partition Networks Based on Fuzzy Graphs», en Communications in Computer and Information Science. Springer Science and Business Media Deutschland GmbH, pp. 398-409. Disponible en: https://doi.org/10.1007/978-3-031-08971-8_33. | |
| dc.identifier.doi | 10.1007/978-3-031-08971-8_33 | |
| dc.identifier.isbn | 978-3-031-08970-1 | |
| dc.identifier.isbn | 978-3-031-08971-8 | |
| dc.identifier.officialurl | https://doi.org/10.1007/978-3-031-08971-8_33 | |
| dc.identifier.relatedurl | https://link.springer.com/chapter/10.1007/978-3-031-08971-8_33#citeas | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/104420 | |
| dc.language.iso | eng | |
| dc.page.final | 409 | |
| dc.page.initial | 398 | |
| 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/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106254RB-I00/ES/LA ESTRUCTURA DE LA COMUNICACION EN RED Y LA OPINION PUBLICA INCLUSIVA. UN ESTUDIO CON TECNICAS DE BIG DATA Y ANALISIS DE REDES SOCIALES/ | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.accessRights | restricted access | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject.cdu | 316.653 | |
| dc.subject.cdu | 308 | |
| dc.subject.keyword | Polarization | |
| dc.subject.keyword | Fuzzy set | |
| dc.subject.keyword | Network Analysis | |
| dc.subject.keyword | Aggregation operators | |
| dc.subject.ucm | Opinión pública (Ciencias de la Información) | |
| dc.subject.ucm | Opinión pública (Sociología) | |
| dc.subject.ucm | Estadística | |
| dc.subject.ucm | Internet (Ciencias de la Información) | |
| dc.subject.unesco | 5910 Opinión Pública | |
| dc.subject.unesco | 6114.15 Opinión Pública | |
| dc.subject.unesco | 1209 Estadística | |
| dc.title | Polarization measures in bi-partition networks based on fuzzy graphs | |
| dc.type | conference paper | |
| dc.type.hasVersion | VoR | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 4dcf8c54-8545-4232-8acf-c163330fd0fe | |
| relation.isAuthorOfPublication.latestForDiscovery | 4dcf8c54-8545-4232-8acf-c163330fd0fe |
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