Autor según el artículo: Alex Arenas; Hongrun Wu; Sergio Gómez

Departamento: Enginyeria Informàtica i Matemàtiques

Autor/es de la URV: ARENAS MORENO, ALEJANDRO; Hongrun Wu; GÓMEZ JIMÉNEZ, SERGIO

Palabras clave: Heterogeneous networks Behavioral research Information theory

Resumen: 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.

Grupo de investigación: Algorithms embedded in Physical Systems

Áreas temáticas: Computer engineering Ingeniería informática Enginyeria informàtica

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 1539-3755

Identificador del autor: 0000-0003-0937-0334; n/a; 0000-0003-1820-0062

Fecha de alta del registro: 2017-02-08

Volumen de revista: 95

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.012301

DOI del artículo: 10.1103/PhysRevE.95.012301

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2017

Página inicial: Art.num. 012301

Tipo de publicación: Article Artículo Article