Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9727712 | Physica A: Statistical Mechanics and its Applications | 2005 | 21 Pages |
Abstract
We here discuss a model of continuous 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. We concentrate on the version of the model in the presence of few extremists which might drive the dynamics to generalized extremism. A network version of the dynamics is presented here, and its results are compared to those previously obtained for the full-mixing case. The same dynamical regimes are observed, but in rather different parameter regions. We here show that the combination of meso-scale features resulting from the first interaction steps determines the asymptotic state of the dynamics.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Gérard Weisbuch, Guillaume Deffuant, Frédéric Amblard,