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dc.contributor.author | Pérez-García, Daniel | es_ES |
dc.contributor.author | Argente, Estefanía | es_ES |
dc.date.accessioned | 2022-01-07T07:40:32Z | |
dc.date.available | 2022-01-07T07:40:32Z | |
dc.date.issued | 2020-11-13 | es_ES |
dc.identifier.isbn | 978-3-030-61705-9 | es_ES |
dc.identifier.issn | 1611-3349 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/179356 | |
dc.description.abstract | [EN] The massive use of social media makes it increasingly easy to find highly sensitive information about almost anyone on the Internet. Despite the efforts of social media platforms to provide their users with tools to manage their privacy, these are proving insufficient due to their complexity. For this reason, it has been considered necessary to develop a software tool based on a multi-agent system to help users to improve and correct their bad behavior by using automation mechanisms and transmitting the information in a natural way for them, replicating the behavior of a human being. The aim of our work is to implement a multi- agent system where agents interact organically with each other and with human users on the PESEDIA social network, so that they can support user in a non-intrusive manner, using paternalistic techniques through actions available on the social network. | es_ES |
dc.description.sponsorship | This work has been funded thanks to the Spanish Government through project TIN2017-89156-R and predoctoral contract PRE2018-084940. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer Nature | es_ES |
dc.relation.ispartof | Hybrid Artificial Intelligent Systems. 15th International Conference, HAIS 2020, Gijón, Spain, November 11-13, 2020, Proceedings | es_ES |
dc.relation.ispartofseries | Lecture Notes in Computer Science;12344 | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Social Media Platform | es_ES |
dc.subject | Multi-agent | es_ES |
dc.subject | Privacy | es_ES |
dc.subject | Simulation | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Simulating Users in a Social Media Platform Using Multi-agent Systems | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.type | Artículo | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.identifier.doi | 10.1007/978-3-030-61705-9_40 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-89156-R/ES/AGENTES INTELIGENTES PARA ASESORAR EN PRIVACIDAD EN REDES SOCIALES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//PRE2018-084940//AYUDA PARA CONTRATOS PREDOCTORALES PARA LA FORMACION DE DOCTORES-PEREZ GARCIA, DANIEL. PROYECTO: AGENTES INTELIGENTES PARA ASESORAR EN PRIVACIDAD EN REDES SOCIALES/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | Pérez-García, D.; Argente, E. (2020). Simulating Users in a Social Media Platform Using Multi-agent Systems. Springer Nature. 486-498. https://doi.org/10.1007/978-3-030-61705-9_40 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 15th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2020) | es_ES |
dc.relation.conferencedate | Noviembre 11-13,2020 | es_ES |
dc.relation.conferenceplace | Gijon, Spain | es_ES |
dc.relation.publisherversion | https://doi.org/10.1007/978-3-030-61705-9_40 | es_ES |
dc.description.upvformatpinicio | 486 | es_ES |
dc.description.upvformatpfin | 498 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | S\424781 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
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