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Reliability analysis of interdependent hypergraph network under different attack strategies

Author

Listed:
  • 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)

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.

Suggested Citation

  • Hao Peng & Ziyi Xie & Dandan Zhao & Ming Zhong & Jianmin Han & Wei Wang, 2023. "Reliability analysis of interdependent hypergraph network under different attack strategies," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 34(02), pages 1-20, February.
    • Handle: RePEc:wsi:ijmpcx:v:34:y:2023:i:02:n:s0129183123500274
    DOI: 10.1142/S0129183123500274
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    Cited by:

    1. Liu, Run-Ran & Chu, Changchang & Meng, Fanyuan, 2023. "Higher-order interdependent percolation on hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).

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