Simulation of Consensus Model of Deffuant et al on a Barabasi-Albert Network
Statistical Mechanics
2009-11-10 v2
Abstract
In the consensus model with bounded confidence, studied by Deffuant et al. (2000), two randomly selected people who differ not too much in their opinion both shift their opinions towards each other. Now we restrict this exchange of information to people connected by a scale-free network. As a result, the number of different final opinions (when no complete consensus is formed) is proportional to the number of people.
Keywords
Cite
@article{arxiv.cond-mat/0308231,
title = {Simulation of Consensus Model of Deffuant et al on a Barabasi-Albert Network},
author = {D. Stauffer and H. Meyer-Ortmanns},
journal= {arXiv preprint arXiv:cond-mat/0308231},
year = {2009}
}
Comments
7 pages including 3 figs; Int.J.MOd.Phys.C 15, issue 2; programming error corrected