Interacting Agents and Continuous Opinions Dynamics

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We present a model of opinion dynamics in which agents adjust continuous opinions as a result of random binary encounters whenever their difference in opinion is below a given threshold. High thresholds yield convergence of opinions towards an average opinion, whereas low thresholds result in several opinion clusters. The model is further generalised to network interactions, threshold heterogeneity, adaptive thresholds and binary strings of opinions.
21 pages, 13 figures. http://www.lps.ens.fr/~weisbuch/contopidyn/contopidyn.html

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Disordered Systems and Neural Networks

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http://salesiana.dossiersoluciones.com/handle/123456789/18587

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/0111494
 http://arxiv.org/abs/cond-mat/0111494

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arXiv