Author, as appears in the article.: Omodei, Elisa; De Domenico, Manlio; Arenas, Alex;
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: Arenas Moreno, Alejandro / DE DOMENICO, MANLIO
Keywords: Social networks Multilayer Exceptional events Complex networks Big data
Abstract: 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.
Thematic Areas: Physics, multidisciplinary Physics and astronomy (miscellaneous) Physics and astronomy (all) Physical and theoretical chemistry Mathematical physics Materials science (miscellaneous) General physics and astronomy Biophysics
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: alexandre.arenas@urv.cat
Author identifier: 0000-0003-0937-0334
Record's date: 2024-09-28
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.frontiersin.org/articles/10.3389/fphy.2015.00059/full
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Frontiers In Physics. 3 (59):
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
Article's DOI: 10.3389/fphy.2015.00059
Entity: Universitat Rovira i Virgili
Journal publication year: 2015
Publication Type: Journal Publications