Majority-vote model on Opinion-Dependent Networks

Received Day Month Year Revised Day Month Year We study a nonequilibrium model with up-down symmetry and a noise parameter q known as majority-vote model of M.J. Oliveira 1992 on opinion-dependent network or Stauffer-Hohnisch-Pittnauer networks. By Monte Carlo simulations and finite-size scaling relations the critical exponents β/ν, γ/ν, and 1/ν and points qc and U * are obtained. After extensive simulations, we obtain β/ν = 0.230(3), γ/ν = 0.535(2), and 1/ν = 0.475(8). The calculated values of the critical noise parameter and Binder cumulant are qc = 0.166(3) and U * = 0.288(3). Within the error bars, the exponents obey the relation 2β/ν + γ/ν = 1 and the results presented here demonstrate that the majority-vote model belongs to a different universality class than the equilibrium Ising model on Stauffer-Hohnisch-Pittnauer networks, but to the same class as majority-vote models on some other networks.