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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