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Analyzing Users' Activity in On-line Social Networks over Time through a Multi-Agent Framework

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Analyzing Users' Activity in On-line Social Networks over Time through a Multi-Agent Framework

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dc.contributor.author Del Val Noguera, Elena es_ES
dc.contributor.author Martínez, Carla es_ES
dc.contributor.author Botti, V. es_ES
dc.date.accessioned 2017-05-29T13:32:00Z
dc.date.available 2017-05-29T13:32:00Z
dc.date.issued 2016-11
dc.identifier.issn 1432-7643
dc.identifier.uri http://hdl.handle.net/10251/81937
dc.description.abstract [EN] The number of people and organizations using online social networks as a new way of communication is continually increasing. Messages that users write in networks and their interactions with other users leave a digital trace that is recorded. In order to understand what is going on in these virtual environments, it is necessary systems that collect, process, and analyze the information generated. The majority of existing tools analyze information related to an online event once it has finished or in a specific point of time (i.e., without considering an in-depth analysis of the evolution of users activity during the event). They focus on an analysis based on statistics about the quantity of information generated in an event. In this article, we present a multi-agent system that automates the process of gathering data from users activity in social networks and performs an in-depth analysis of the evolution of social behavior at different levels of granularity in online events based on network theory metrics. We evaluated its functionality analyzing users activity in events on Twitter. es_ES
dc.description.sponsorship This work is partially supported by the PROME-TEOII/2013/019, TIN2014-55206-R, TIN2015-65515-C4-1-R, H2020-ICT-2015-688095. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Soft Computing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Multi.agent System es_ES
dc.subject Complex networks es_ES
dc.subject Social Network Analysis es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification BIBLIOTECONOMIA Y DOCUMENTACION es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Analyzing Users' Activity in On-line Social Networks over Time through a Multi-Agent Framework es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s00500-016-2301-0
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2013%2F019/ES/HUMBACE: HUMAN-LIKE COMPUTATIONAL MODELS FOR AGENT-BASED COMPUTATIONAL ECONOMICS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/688095/EU/Large-scale pilots for collaborative OpenCourseWare authoring, multiplatform delivery and Learning Analytics/
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2014-55206-R/ES/PRIVACIDAD EN ENTORNOS SOCIALES EDUCATIVOS DURANTE LA INFANCIA Y LA ADOLESCENCIA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2015-65515-C4-1-R/ES/ARQUITECTURA PERSUASIVA PARA EL USO SOSTENIBLE E INTELIGENTE DE VEHICULOS EN FLOTAS URBANAS/ 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.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Del Val Noguera, E.; Martínez, C.; Botti, V. (2016). Analyzing Users' Activity in On-line Social Networks over Time through a Multi-Agent Framework. Soft Computing. 20(11):4331-4345. https://doi.org/10.1007/s00500-016-2301-0 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s00500-016-2301-0 es_ES
dc.description.upvformatpinicio 4331 es_ES
dc.description.upvformatpfin 4345 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 11 es_ES
dc.relation.senia 316000 es_ES
dc.contributor.funder Generalitat Valenciana
dc.contributor.funder Ministerio de Economía y Competitividad
dc.contributor.funder European Commission
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