负载重分配高阶网络的级联故障动力学。

IF 3.2 2区 数学 Q1 MATHEMATICS, APPLIED
Chaos Pub Date : 2024-12-01 DOI:10.1063/5.0239811
Zongning Wu, Jiaying Yang, Ying Fan, Jianlin Zhou, Chongchong Yu
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引用次数: 0

摘要

复杂网络中的负载再分配现象因其影响深远、发生广泛而受到广泛关注。近年来,高阶结构为理解复杂网络的结构和动态过程提供了新的视角。然而,这些高阶结构对负载再分配、级联故障和恢复过程的动态影响仍有待充分探索。在本研究中,我们提出了具有高阶结构的负载再分配模型,以及基于功能升级和重建机制的级联故障恢复策略。在具有载荷再分配和高阶恢复策略的级联失效过程中,我们发现高阶结构能在低比例载荷再分配时引起不连续相变,动态过程表现出稳健而脆弱的双重特性。这些发现在真实网络和经典模型网络中都得到了检验。有趣的是,在高阶结构和恢复机制密度较高时,随着攻击比率的增加,最大连通分量表现出三种截然不同的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cascading failure dynamics on higher-order networks with load redistribution.

The phenomenon of load redistribution in complex networks has garnered extensive attention due to its profound impact and widespread occurrence. In recent years, higher-order structures have offered new insights into understanding the structures and dynamic processes of complex networks. However, the influence of these higher-order structures on the dynamics of load redistribution, cascade failures, and recovery processes remains to be fully explored. In this study, we propose the load redistribution model with higher-order structures and recovery strategies of cascade failure based on functional upgrading and reconstruction mechanisms. In the cascading failure process with load redistribution and higher-order recovery strategies, we find that higher-order structures can induce a discontinuous phase transition at the low proportion of load redistribution, and the dynamic process displays a dual character of being robust yet fragile. These findings have been examined in both real and classical modeled networks. Interestingly, the largest connected component exhibits three distinct modes as the attack ratio increases at high densities of higher-order structures and recovery mechanisms.

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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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