Articles producció científica> Enginyeria Informàtica i Matemàtiques

Characterizing interactions in online social networks during exceptional events

  • Dades identificatives

    Identificador: imarina:3654403
    Autors:
    Omodei, ElisaDe Domenico, ManlioArenas, Alex
    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.
  • Altres:

    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
  • Paraules clau:

    Biophysics,Materials Science (Miscellaneous),Mathematical Physics,Physical and Theoretical Chemistry,Physics and Astronomy (Miscellaneous),Physics, Multidisciplinary
    Social networks
    Multilayer
    Exceptional events
    Complex networks
    Big data
    Physics, multidisciplinary
    Physics and astronomy (miscellaneous)
    Physics and astronomy (all)
    Physical and theoretical chemistry
    Mathematical physics
    Materials science (miscellaneous)
    General physics and astronomy
    Biophysics
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