Network switching can improve system order

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Ye Ye, Zhuo-yuan Zhai, Tao Wen, Lu Wang, Kang Hao Cheong, Neng-gang Xie
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引用次数: 0

Abstract

Building upon the theoretical framework of Parrondo's games, this study explores the impact of network dynamic switching, particularly in multilayer networks, on system order. Two 9-node multilayer network systems were constructed, accompanied by the design of an update rule for individual states. System entropy was used as an evaluation index for system order, and a theoretical analysis of system entropy was conducted using the discrete Markov chain method. The findings indicate that switching between multilayer networks effectively enhances system order. Furthermore, simulation results show that in multilayer BA scale-free network systems, network switching further contributes to the enhancement of system order. The coupling and network switching of multilayer networks may complement each other in enhancing the internal order of the system. Coupling enhances the synergy between different network layers, while network switching increases entanglement and mutual information between individuals and their small habitats. This dual mechanism reduces the diversity of system states and promotes greater internal order.
网络交换可以改善系统秩序
本研究以 Parrondo 博弈的理论框架为基础,探讨了网络动态切换(尤其是多层网络中的动态切换)对系统秩序的影响。研究构建了两个 9 节点多层网络系统,并设计了单个状态的更新规则。系统熵被用作系统秩序的评价指标,并利用离散马尔可夫链方法对系统熵进行了理论分析。研究结果表明,多层网络之间的切换能有效提高系统的有序性。此外,仿真结果表明,在多层 BA 无标度网络系统中,网络切换进一步促进了系统有序性的提高。多层网络的耦合和网络切换可以相辅相成地增强系统的内部秩序。耦合增强了不同网络层之间的协同作用,而网络切换则增加了个体与其小生境之间的纠缠和相互信息。这种双重机制减少了系统状态的多样性,促进了更大的内部秩序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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