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Majority-vote model on opinion-dependent network

机译:意见相关网络的多数投票模型

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摘要

We study a nonequilibrium model with up-down symmetry and a noise parameter q known as majority-vote model (MVM) of Oliveira 1992 on opinion-dependent network or Stauffer-Hohnisch-Pittnauer (SHP) networks. By Monte Carlo (MC) simulations and finite-size scaling relations the critical exponents βν, γν and 1ν and points q_c and U~* are obtained. After extensive simulations, we obtain βν = 0.230(3), γν = 0.535(2) and 1ν = 0.475(8). The calculated values of the critical noise parameter and Binder cumulant are q_c = 0.166(3) and U~* = 0.288(3). Within the error bars, the exponents obey the relation 2βν + γν = 1 and the results presented here demonstrate that the MVM belongs to a different universality class than the equilibrium Ising model on SHP networks, but to the same class as majority-vote models on some other networks.
机译:我们在意见依赖网络或Stauffer-Hohnisch-Pittnauer(SHP)网络上研究了具有上下对称对称性和噪声参数q的Oliveira 1992多数投票模型(MVM)的非平衡模型。通过蒙特卡洛(MC)模拟和有限尺寸比例关系,获得了临界指数βν,γν和1ν以及点q_c和U〜*。经过广泛的模拟,我们获得βν= 0.230(3),γν= 0.535(2)和1ν= 0.475(8)。临界噪声参数和Binder累积量的计算值为q_c = 0.166(3)和U〜* = 0.288(3)。在误差条内,指数服从2βν+γν= 1的关系,此处给出的结果证明,MVM与SHP网络上的均衡Ising模型属于不同的通用类,但与MHP网络上的多数投票模型属于同一类。其他一些网络。

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