Autor segons l'article: Omodei, Elisa; De Domenico, Manlio; Arenas, Alex;
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Arenas Moreno, Alejandro / DE DOMENICO, MANLIO
Paraules clau: Social networks Multilayer Exceptional events Complex networks Big data
Resum: 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.
Àrees temàtiques: Physics, multidisciplinary Physics and astronomy (miscellaneous) Physics and astronomy (all) Physical and theoretical chemistry Mathematical physics Materials science (miscellaneous) General physics and astronomy Biophysics
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: alexandre.arenas@urv.cat
Identificador de l'autor: 0000-0003-0937-0334
Data d'alta del registre: 2024-09-28
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.frontiersin.org/articles/10.3389/fphy.2015.00059/full
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Frontiers In Physics. 3 (59):
Referència 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
DOI de l'article: 10.3389/fphy.2015.00059
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2015
Tipus de publicació: Journal Publications