Autor según el artículo: Omodei, Elisa; De Domenico, Manlio; Arenas, Alex;
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Arenas Moreno, Alejandro / DE DOMENICO, MANLIO
Resumen: Nowadays, millions of people interact on a daily basis on online social media like Facebook and Twitter, where they share and discuss information about a wide variety of topics. In this paper, we focus on a specific online social network, Twitter, and we analyze multiple datasets each one consisting of individuals' online activity before, during and after an exceptional event in terms of volume of the communications registered. We consider important events that occurred in different arenas that range from policy to culture or science. For each dataset, the users' online activities are modeled by a multilayer network in which each layer conveys a different kind of interaction, specifically: retweeting, mentioning and replying. This representation allows us to unveil that these distinct types of interaction produce networks with different statistical properties, in particular concerning the degree distribution and the clustering structure. These results suggests that models of online activity cannot discard the information carried by this multilayer representation of the system, and should account for the different processes generated by the different kinds of interactions. Secondly, our analysis unveils the presence of statistical regularities among the different events, suggesting that the non-trivial topological patterns that we observe may represent universal features of the social dynamics on online social networks during exceptional events.
Áreas temáticas: Physics, multidisciplinary Physics and astronomy (miscellaneous) Physics and astronomy (all) Physical and theoretical chemistry Mathematical physics Materials science (miscellaneous) General physics and astronomy Biophysics
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: alexandre.arenas@urv.cat
Identificador del autor: 0000-0003-0937-0334
Fecha de alta del registro: 2023-11-18
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.frontiersin.org/articles/10.3389/fphy.2015.00059/full
Referencia al articulo segun fuente origial: Frontiers In Physics. 3 (59):
Referencia de l'ítem segons les normes APA: Omodei, Elisa; De Domenico, Manlio; Arenas, Alex; (2015). Characterizing interactions in online social networks during exceptional events. Frontiers In Physics, 3(59), -. DOI: 10.3389/fphy.2015.00059
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
DOI del artículo: 10.3389/fphy.2015.00059
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2015
Tipo de publicación: Journal Publications
Repositori URV