2026-04-17T21:41:24Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1187502025-11-19T20:25:57Zcom_2072_1057col_2072_478822col_2072_478914col_2072_478917

urn:hdl:2445/118750 Opinion competition dynamics on multiplex networks Amato, Roberta Kouvaris, Nikos E. San Miguel, Maxi Díaz Guilera, Albert Xarxes d'ordinadors Xarxes socials Dinàmica Teoria de grafs Computer networks Social networks Dynamics Graph theory Multilayer and multiplex networks represent a good proxy for the description of social phenomena where social structure is important and can have different origins. Here, we propose a model of opinion competition where individuals are organized according to two different structures in two layers. Agents exchange opinions according to the Abrams-Strogatz model in each layer separately and opinions can be copied across layers by the same individual. In each layer a different opinion is dominant, so each layer has a different absorbing state. Consensus in one opinion is not the only possible stable solution because of the interaction between the two layers. A new mean field solution has been found where both opinions coexist. In a finite system there is a long transient time for the dynamical coexistence of both opinions. However, the system ends in a consensus state due to finite size effects. We analyze sparse topologies in the two layers and the existence of positive correlations between them, which enables the coexistence of inter-layer groups of agents sharing the same opinion. 2017-12-15T16:01:06Z 2017-12-15T16:01:06Z 2017-12-06 2017-12-15T16:01:06Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Reproducció del document publicat a: https://doi.org/10.1088/1367-2630/aa936a New Journal of Physics, 2017, vol. 19, p. 123019 https://doi.org/10.1088/1367-2630/aa936a info:eu-repo/grantAgreement/EC/FP7/318132/EU//LASAGNE (c) IOP Publishing Ltd and Deutsche Physikalische Gesellschaft, 2017 info:eu-repo/semantics/openAccess Institute of Physics Pub. Articles publicats en revistes (Física de la Matèria Condensada)