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: members of the same cluster share the same opinion but are no longer influenced by members of other clusters.
No takes yet. Share an insight, caveat, or question.
Deffuant et al. (2000) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: