Articles producció científica> Enginyeria Informàtica i Matemàtiques

Influence of trust in the spreading of information

  • Dades identificatives

    Identificador: PC:2550
    Autors:
    Alex ArenasHongrun WuSergio Gómez
    Resum:
    DOI: 10.1103/PhysRevE.95.012301 URL: http://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.012301 Filiació URV: SI Inclòs a la memòria: SI
  • Altres:

    Autor segons l'article: Alex Arenas; Hongrun Wu; Sergio Gómez
    Departament: Enginyeria Informàtica i Matemàtiques
    Autor/s de la URV: ARENAS MORENO, ALEJANDRO; Hongrun Wu; GÓMEZ JIMÉNEZ, SERGIO
    Paraules clau: Heterogeneous networks Behavioral research Information theory
    Resum: The understanding and prediction of information diffusion processes on networks is a major challenge in network theory with many implications in social sciences. Many theoretical advances occurred due to stochastic spreading models. Nevertheless, these stochastic models overlooked the influence of rational decisions on the outcome of the process. For instance, different levels of trust in acquaintances do play a role in information spreading, and actors may change their spreading decisions during the information diffusion process accordingly. Here, we study an information-spreading model in which the decision to transmit or not is based on trust. We explore the interplay between the propagation of information and the trust dynamics happening on a two-layer multiplex network. Actors' trustable or untrustable states are defined as accumulated cooperation or defection behaviors, respectively, in a Prisoner's Dilemma setup, and they are controlled by a memory span. The propagation of information is abstracted as a threshold model on the information-spreading layer, where the threshold depends on the trustability of agents. The analysis of the model is performed using a tree approximation and validated on homogeneous and heterogeneous networks. The results show that the memory of previous actions has a significant effect on the spreading of information. For example, the less memory that is considered, the higher is the diffusion. Information is highly promoted by the emergence of trustable acquaintances. These results provide insight into the effect of plausible biases on spreading dynamics in a multilevel networked system.
    Grup de recerca: Algorithms embedded in Physical Systems
    Àrees temàtiques: Computer engineering Ingeniería informática Enginyeria informàtica
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 1539-3755
    Identificador de l'autor: 0000-0003-0937-0334; n/a; 0000-0003-1820-0062
    Data d'alta del registre: 2017-02-08
    Volum de revista: 95
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.012301
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.1103/PhysRevE.95.012301
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2017
    Pàgina inicial: Art.num. 012301
    Tipus de publicació: Article Artículo Article
  • Paraules clau:

    Informació, Teoria matemàtica de la
    Models estocàstics
    Heterogeneous networks
    Behavioral research
    Information theory
    Computer engineering
    Ingeniería informática
    Enginyeria informàtica
    1539-3755
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