Article,

Majority-vote model on spatially embedded networks: Crossover from mean-field to Ising universality classes

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PHYSICAL REVIEW E, (2016)
DOI: 10.1103/PhysRevE.93.052101

Abstract

We study through Monte Carlo simulations and finite-size scaling analysis the nonequilibrium phase transitions of the majority-vote model taking place on spatially embedded networks. These structures are built from an underlying regular lattice over which directed long-range connections are randomly added according to the probability P-ij similar to r(-alpha), where r(ij) is the Manhattan distance between nodes i and j, and the exponent alpha is a controlling parameter J. M. Kleinberg, Nature (London) 406, 845 (2000). Our results show that the collective behavior of this system exhibits a continuous order-disorder phase transition at a critical parameter, which is a decreasing function of the exponent alpha. Precisely, considering the scaling functions and the critical exponents calculated, we conclude that the system undergoes a crossover among distinct universality classes. For alpha <= 3 the critical behavior is described by mean-field exponents, while for alpha >= 4 it belongs to the Ising universality class. Finally, in the region where the crossover occurs, 3 < alpha < 4, the critical exponents are dependent on alpha.

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