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

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