Interacting Agents and Continuous Opinions Dynamics
Disordered Systems and Neural Networks
2007-05-23 v1
Abstract
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.
Cite
@article{arxiv.cond-mat/0111494,
title = {Interacting Agents and Continuous Opinions Dynamics},
author = {Gerard Weisbuch and Guillaume Deffuant and Frederic Amblard and Jean Pierre Nadal},
journal= {arXiv preprint arXiv:cond-mat/0111494},
year = {2007}
}
Comments
21 pages, 13 figures. http://www.lps.ens.fr/~weisbuch/contopidyn/contopidyn.html