Diffusive Majority Vote Model

Abstract

We define a stochastic reaction-diffusion process that describes a consensus formation in a non-sedentary population. The process is a diffusive version of the Majority Vote model, where the state update follows two stages: in the first stage, spins are allowed to hop to neighbor nodes with different probabilities for the respective spin orientation, and in the second stage, the spins in the same node can change its values according to the majority vote update rule. The model presents a consensus formation phase when concentration is greater than a threshold value, and a paramagnetic phase on the converse for equal diffusion probabilities, i.e., maintaining the inversion symmetry. The threshold vanishes for unequal diffusion probabilities, which means that the system has a consensus state for all values of population densities. The stationary collective opinion is dominated by the individuals that diffuse more.

13 pages, 6 figures

References in corpus (6)

• Reaction-diffusion processes and metapopulation models in heterogeneous networks
• Sociophysics: A review of Galam models
• Social applications of two-dimensional Ising models
• Diffusive epidemic process: theory and simulation
• Phase transition in the majority-vote model on the Archimedean lattices
• Impact of site dilution and agent diffusion on the critical behavior of the majority-vote model

Cited by in corpus (1)

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