Aging in coevolving voter models

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Byungjoon Min , Maxi San Miguel
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引用次数: 0

Abstract

Aging, understood as the tendency to remain in a given state the longer the persistence time in that state, plays a crucial role in the dynamics of complex systems. In this paper, we explore the influence of aging on coevolution models, that is, models in which the dynamics of the states of the nodes in a complex network is coupled to the dynamics of the structure of the network. In particular we consider the coevolving voter model, and we introduce two versions of this model that include aging effects: the Link Aging Model (LAM) and the Node Aging Model (NAM). In the LAM, aging is associated with the persistence time of a link in the evolving network, while in the NAM, aging is associated with the persistence time of a node in a given state. We show that aging significantly affects the absorbing phase transition of the coevolution voter model, shifting the transition point in opposite directions for the LAM and NAM. We also show that the generic absorbing phase transition can disappear due to aging effects.
共同进化的选民模型中的老龄化
老化,被理解为一种倾向,即保持在某一特定状态的时间越长,在复杂系统的动力学中起着至关重要的作用。在本文中,我们探讨了老化对协同进化模型的影响,即复杂网络中节点状态的动态与网络结构的动态耦合的模型。我们特别考虑了共同进化的选民模型,并介绍了包含老化效应的该模型的两个版本:链路老化模型(LAM)和节点老化模型(NAM)。在LAM中,老化与演进网络中链路的持续时间有关,而在NAM中,老化与节点在给定状态下的持续时间有关。我们发现,老化显著影响了共同进化选民模型的吸收相变,使LAM和NAM的过渡点向相反的方向移动。我们还发现,由于老化效应,一般的吸收相变会消失。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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