The influence of higher-order structure on the synchronization path of the network

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-02-13 DOI:10.1016/j.chaos.2025.116104
Binghua Zuo , Lu Dai , Yongshang Long , Chuansheng Shen , Yicheng Zhang
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Abstract

The influence of higher-order structures on network dynamic behaviors has gradually emerged as a significant focus in the field of network science. Among these behaviors, synchronization is a pivotal phenomenon. While existing studies primarily examine how higher-order structures affect synchronization types and thresholds, the dynamics of the synchronization process itself remain underexplored. In this work, we study the impact of higher-order BA network structures on ER random networks, specifically analyzing their effect on the synchronization path. Our findings reveal that introducing higher-order BA structures into ER random networks can either promote stepwise aggregation synchronization and hierarchical synchronization or suppress global synchronization, depending on the higher-order coupling strength. Moreover, as the higher-order coupling strength increases, when the higher-order BA network fails to synchronize, the ER structure can be employed to facilitate overall synchronization along the hierarchical synchronization path. The analysis presented in this paper reveals the complex influence of higher-order BA structures on network synchronization, offering new insights into the role of higher-order structures in network dynamics.
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高阶结构对网络同步路径的影响
高阶结构对网络动态行为的影响已逐渐成为网络科学领域的一个重要研究热点。在这些行为中,同步是一个关键现象。虽然现有的研究主要是研究高阶结构如何影响同步类型和阈值,但同步过程本身的动力学仍未得到充分探索。在这项工作中,我们研究了高阶BA网络结构对ER随机网络的影响,具体分析了它们对同步路径的影响。研究结果表明,在ER随机网络中引入高阶BA结构,根据高阶耦合强度的不同,可以促进逐步聚合同步和分层同步,也可以抑制全局同步。此外,随着高阶耦合强度的增加,当高阶BA网络无法同步时,可以采用ER结构,沿着分层同步路径进行整体同步。本文的分析揭示了高阶BA结构对网络同步的复杂影响,为高阶BA结构在网络动力学中的作用提供了新的认识。
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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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