We propose a nonlinear voter model to study the emergence of global consensus in opinion dynamics. In our model, agent i agrees with one of binary opinions with the probability that is a power function of the number of agents holding this opinion among agent i and its nearest neighbors, where an adjustable parameter α controls the effect of herd behavior on consensus. We find that there exists an optimal value of α leading to the fastest consensus for lattices, random graphs, small-world networks and scale-free networks. Qualitative insights are obtained by examining the spatiotemporal evolution of the opinion clusters.
|Original language||English (US)|
|Number of pages||4|
|Journal||Physics Letters, Section A: General, Atomic and Solid State Physics|
|State||Published - Jan 9 2012|
ASJC Scopus subject areas
- Physics and Astronomy(all)