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Does the type of event influence how user interactions evolve on Twitter?

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Does the type of event influence how user interactions evolve on Twitter?

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dc.contributor.author Del Val Noguera, Elena es_ES
dc.contributor.author Rebollo Pedruelo, Miguel es_ES
dc.contributor.author Botti Navarro, Vicente Juan es_ES
dc.date.accessioned 2016-04-25T13:54:41Z
dc.date.available 2016-04-25T13:54:41Z
dc.date.issued 2015-05-11
dc.identifier.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10251/62891
dc.description This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited es_ES
dc.description.abstract The number of people using on-line social networks as a new way of communication is continually increasing. The messages that a user writes in these networks and his/her interactions with other users leave a digital trace that is recorded. Thanks to this fact and the use of network theory, the analysis of messages, user interactions, and the complex structures that emerge is greatly facilitated. In addition, information generated in on-line social networks is labeled temporarily, which makes it possible to go a step further analyzing the dynamics of the interaction patterns. In this article, we present an analysis of the evolution of user interactions that take place in television, socio-political, conference, and keynote events on Twitter. Interactions have been modeled as networks that are annotated with the time markers. We study changes in the structural properties at both the network level and the node level. As a result of this analysis, we have detected patterns of network evolution and common structural features as well as differences among the events. es_ES
dc.description.sponsorship The author(s) received specific funding for this work from the research group (Grupo de Inteligencia Informatica e Inteligencia Artificial) where the authors are currently working. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. en_EN
dc.language Inglés es_ES
dc.publisher Public Library of Science es_ES
dc.relation MINECO/FEDER TIN2012-36586-C03-01 es_ES
dc.relation PROMETEOII/2013/019 es_ES
dc.relation Program Valorización y Recursos Conjuntos de I+D+i VLC/CAMPUS es_ES
dc.relation Ministerio de Educación, Cultura y Deporte as part of the Campus of International Excellence Program SP2014800 es_ES
dc.relation.ispartof PLoS ONE es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Social networks analysis es_ES
dc.subject Artificial Intelligence es_ES
dc.subject Complex systems 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 Does the type of event influence how user interactions evolve on Twitter? es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1371/journal.pone.0124049
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 Del Val Noguera, E.; Rebollo Pedruelo, M.; Botti Navarro, VJ. (2015). Does the type of event influence how user interactions evolve on Twitter?. PLoS ONE. 10(5):21-53. doi:10.1371/journal.pone.0124049 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1371/journal.pone.0124049 es_ES
dc.description.upvformatpinicio 21 es_ES
dc.description.upvformatpfin 53 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 5 es_ES
dc.relation.senia 290279 es_ES
dc.identifier.pmid 25961305 en_EN
dc.identifier.pmcid PMC4427504


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