2026-04-14T07:39:13Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/2166912025-12-04T20:42:07Zcom_2072_1057col_2072_478822col_2072_478914col_2072_478917

Multiscale voter model on real networks Ortiz Castillo, Elisenda Serrano Moral, Ma. Ángeles (María Ángeles) Espais hiperbòlics Sistemes complexos Hyperbolic spaces Complex systems We introduce the Multiscale Voter Model (MVM) to investigate clan influence at multiple scales—family, neighborhood, political party…—in opinion formation on real complex networks. Clans, consisting of similar nodes, are constructed using a coarse-graining procedure on network embeddings that allows us to control for the length scale of interactions. We ran numerical simulations to monitor the evolution of MVM dynamics in real and synthetic networks, and identified a transition between a final stage of full consensus and one with mixed binary opinions. The transition depends on the scale of the clans and on the strength of their influence. We found that enhancing group diversity promotes consensus while strong kinship yields to metastable clusters of same opinion. The segregated domains, which signal opinion polarization, are discernible as spatial patterns in the hyperbolic embeddings of the networks. Our multiscale framework can be easily applied to other dynamical processes affected by scale and group influence. 2024-11-22T14:47:08Z 2024-11-22T14:47:08Z 2022-12-01 2024-11-22T14:47:09Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Reproducció del document publicat a: https://doi.org/10.1016/j.chaos.2022.112847 Chaos Solitons & Fractals, 2022, vol. 165 https://doi.org/10.1016/j.chaos.2022.112847 cc-by-nc-nd (c) Ortiz Castillo, Elisenda, et al., 2022 http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Elsevier Ltd Articles publicats en revistes (Física de la Matèria Condensada)