Robustness of higher-order interdependent networks

Peng, Hao; Zhao, Yifan; Zhao, Dandan; Zhong, Ming; Hu, Zhao-Long; Han, Jianming; Runchao, Li,; Wang, Wei

doi:10.1016/j.chaos.2023.113485

Cited by 12 publications

(2 citation statements)

References 35 publications

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“…Ref. [7][8][9][10][11][12][13][14][15] Studied the cascading failure and robustness of multilayer networks.…”

Section: Data Availability Statementmentioning

confidence: 99%

“…Zakariya [11] discussed the interdependent power networks' cascading failure models in terms of features, limitations, and computational speed. Peng et al [12] proposed a model of double-layer network structure with simplicial complexes and discussed the higher-order interactions between the networks. To mitigate cascading failures, Smolyak et al [13] proposed an intuitive and simple method of protecting the critical nodes, and similar approaches were proposed by Wang et al [14] and Shen et al [15].…”

Section: Introductionmentioning

confidence: 99%

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Robustness of Double-Layer Group-Dependent Combat Network with Cascading Failure

Yu¹,

Xiao²,

Cui

2023

Electronics

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The networked combat system-of-system (CSOS) is the trend of combat development with the innovation of technology. To achieve the combat effectiveness, studying the ability of CSOS to cope with external interference is of great importance. Here we report a modeling method of CSOS from the perspective of complex networks and explore the robustness of the combat network based on this. Firstly, a more realistic double-layer heterogeneous dependent combat network model is established. Then, the conditional group dependency situation is considered to design failure rules for dependent failure, and the coupling relation between the double-layer subnets is analyzed for overload failure. Based on this, the initial load and capacity of the node are defined, respectively, as well as the load redistribution strategy and the status judgment rules for the cascading failure model. Simulation experiments are carried out by changing the attack modes and different parameters, and the results show that the robustness of the combat network can be effectively improved by improving the tolerance limit of one-way dependency of the functional net, the node capacity of the functional subnet, and the tolerance of the overload state. The conclusions of this paper can provide a useful reference for network structure optimization and network security protection in the military field.

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“…Ref. [7][8][9][10][11][12][13][14][15] Studied the cascading failure and robustness of multilayer networks.…”

Section: Data Availability Statementmentioning

confidence: 99%