Articles producció científica> Enginyeria Informàtica i Matemàtiques

Influence of trust in the spreading of information

  • Identification data

    Identifier: PC:2550
    Authors:
    Alex ArenasHongrun WuSergio Gómez
    Abstract:
    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
  • Others:

    Author, as appears in the article.: Alex Arenas; Hongrun Wu; Sergio Gómez
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: ARENAS MORENO, ALEJANDRO; Hongrun Wu; GÓMEZ JIMÉNEZ, SERGIO
    Keywords: Heterogeneous networks Behavioral research Information theory
    Abstract: 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.
    Research group: Algorithms embedded in Physical Systems
    Thematic Areas: Computer engineering Ingeniería informática Enginyeria informàtica
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 1539-3755
    Author identifier: 0000-0003-0937-0334; n/a; 0000-0003-1820-0062
    Record's date: 2017-02-08
    Journal volume: 95
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.012301
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1103/PhysRevE.95.012301
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2017
    First page: Art.num. 012301
    Publication Type: Article Artículo Article
  • Keywords:

    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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