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
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
Repositori URV