Reliability analysis of interdependent hypergraph network under different attack strategies
Hao Peng,
Ziyi Xie (),
Dandan Zhao (),
Ming Zhong (),
Jianmin Han () and
Wei Wang
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Hao Peng: College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004 Zhejiang, P. R. China†Key Laboratory of Intelligent Education, Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua 321004 Zhejiang, P. R. China
Ziyi Xie: College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004 Zhejiang, P. R. China
Dandan Zhao: College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004 Zhejiang, P. R. China
Ming Zhong: College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004 Zhejiang, P. R. China
Jianmin Han: College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004 Zhejiang, P. R. China
Wei Wang: School of Public Health, Chongqing Medical University, Chongqing 400016, P. R. China
International Journal of Modern Physics C (IJMPC), 2023, vol. 34, issue 02, 1-20
Abstract:
Nodes usually cooperate to form groups and survive or fail in real-world systems. Researchers typically consider the interdependence between node groups in studying the interdependent network. This paper studies the robustness of interdependent hypergraph networks under different attack strategies. According to the characteristics of the network model, we propose a series of target attack strategies and compare the destructive effect of these strategies on the network. Second, we analyze the impact of the random edge removal strategy on the robustness of hypergraph networks under different edge removal ratios. Finally, we propose four target-node edge removal strategies and compare their destructive effects on the network at the same edge removal ratios. Simulation results show that target attack and edge removal strategies can appreciably reduce the robustness of interdependent hypergraph networks and accelerate the networks’ collapse.
Keywords: Interdependent hypergraph network; group percolation; target attack strategy; edge removal strategy; reliability analysis (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0129183123500274
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