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- W3100014482 startingPage "18003" @default.
- W3100014482 abstract "The majority-vote (MV) model is one of the simplest nonequilibrium Ising-like model that exhibits a continuous order-disorder phase transition at a critical noise. In this paper, we present a quenched mean-field theory for the dynamics of the MV model on networks. We analytically derive the critical noise on arbitrary quenched unweighted networks, which is determined by the largest eigenvalue of a modified network adjacency matrix. By performing extensive Monte Carlo simulations on synthetic and real networks, we find that the performance of the quenched mean-field theory is superior to a heterogeneous mean-field theory proposed in a previous paper [Chen emph{et al.}, Phys. Rev. E 91, 022816 (2015)], especially for directed networks." @default.
- W3100014482 created "2020-11-23" @default.
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- W3100014482 date "2017-10-01" @default.
- W3100014482 modified "2023-09-24" @default.
- W3100014482 title "Quenched mean-field theory for the majority-vote model on complex networks" @default.
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- W3100014482 doi "https://doi.org/10.1209/0295-5075/120/18003" @default.
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