2000/01/01 by Guillaume Deffuant, David Neau, David B. Neau +3 · 87 citations
Physics and Astronomy · Decision Sciences · #Opinion Dynamics and Social Influence #Game Theory and Applications #Complex Network Analysis Techniques
paper · doi:10.1142/s0219525900000078
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.