2003/07/24 by M. F. Laguna, María Fabiana Laguna, Guillermo Abramson +2
Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Evolutionary Game Theory and Cooperation #Opinion Dynamics and Social Influence #cond-mat.stat-mech
paper · pdf · doi:10.1016/s0378-4371(03)00628-9
Latex file, 14 pages and 11 figures, Accepted in Physica A
arxiv created 2003/07/24 · openalex publication_date 2003/08/01 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We present numerical simulations of a model of social influence, where the opinion of each agent is represented by a binary vector. Agents adjust their opinions as a result of random encounters, whenever the difference between opinions is below a given threshold. Evolution leads to a steady state, which highly depends on the threshold and a convergence parameter of the model. We analyze the transition between clustered and homogeneous steady states. Results of the cases of complete mixing and small-world networks are compared.