2016/06/12 by Degang Wu, Wu, Degang, Kwok Yip Szeto +1 · 1 citation
Decision Sciences · Physics and Astronomy · #Business #Complex Network Analysis Techniques #FOS: Physical sciences #Game Theory and Applications #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #physics.soc-ph
paper · pdf · doi:10.48550/arxiv.1606.03686
published in arXiv (Cornell University) (Cornell University)
openalex publication_date 2016/06/12 · arxiv created 2016/06/23 · arxiv updated 2016/06/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We generalize a binary majority-vote model on adaptive networks to a plurality-vote counterpart. When opinions are uniformly distributed in the population of voters in the initial state, it is found that having more available opinions in the initial state actually accelerate the time to consensus. In particular, we investigate the three-state plurality-vote model. While time to consensus in two state model scales exponentially with population size N, for finite-size system, there is a non-zero probability that either the population reaches the consensus state in a time that is very short and independent of N (in the heterophily regime), or in a time that scales exponentially with N but is still much faster than two-state model.