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Resilience of the interdependent network against cascade failure

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  • Lv, Changchun
  • Lei, Yulin
  • Zhang, Ye
  • Duan, Dongli
  • Si, Shubin

Abstract

Complex systems ranging from technological and social systems are consist of fully or partially interdependent subsystems. The majority of catastrophic events occurred in these system always are triggered by minor events and in turn caused by cascading failure. Understanding the universality class of the resilience in interdependent networks during the process of cascading failure is therefore an essential problem. Here, we study the cascading failure in the interdependent network, and nodes would fail due to the dependency mechanism or the overload mechanism. A resilience evaluation model to predict the performance of the interdependent network against cascading failure is proposed. The model allows us to accurately monitor the activity of each node in the cascading process. The results show resilience characteristics would be enriched when the dynamics is introduced in the single layer. Specifically, for E−E and R−R, there is a weak positive correlation between the heterogeneity and resilience, but it shows a weak negative correlation for BD−BD.

Suggested Citation

  • Lv, Changchun & Lei, Yulin & Zhang, Ye & Duan, Dongli & Si, Shubin, 2025. "Resilience of the interdependent network against cascade failure," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:chsofr:v:192:y:2025:i:c:s0960077925000773
    DOI: 10.1016/j.chaos.2025.116064
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    References listed on IDEAS

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    1. Wang, Jianwei & Jiang, Chen & Qian, Jianfei, 2014. "Robustness of interdependent networks with different link patterns against cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 535-541.
    2. Qian, Cheng & Zhao, Dandan & Zhong, Ming & Peng, Hao & Wang, Wei, 2025. "Modeling and analysis of cascading failures in multilayer higher-order networks," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    3. Jianxi Gao & Baruch Barzel & Albert-László Barabási, 2016. "Erratum: Universal resilience patterns in complex networks," Nature, Nature, vol. 536(7615), pages 238-238, August.
    4. Jianxi Gao & Baruch Barzel & Albert-László Barabási, 2016. "Universal resilience patterns in complex networks," Nature, Nature, vol. 530(7590), pages 307-312, February.
    5. Wu, Yu’e & Li, Zhiqiang & Liu, Zeyun & Yang, Guoli, 2024. "The impact of conditional coupling based on environment comparison between interdependent networks on the evolution of cooperation," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).
    6. Robert M. May & Simon A. Levin & George Sugihara, 2008. "Ecology for bankers," Nature, Nature, vol. 451(7181), pages 893-894, February.
    7. Wu, Chengxing & Duan, Dongli & Xiao, Renbin, 2023. "A novel dimension reduction method with information entropy to evaluate network resilience," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 620(C).
    8. Marten Scheffer & Steve Carpenter & Jonathan A. Foley & Carl Folke & Brian Walker, 2001. "Catastrophic shifts in ecosystems," Nature, Nature, vol. 413(6856), pages 591-596, October.
    9. Qi, Xiaogang & Yang, Guizhen & Liu, Lifang, 2020. "Robustness analysis of the networks in cascading failures with controllable parameters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    10. Xueming Liu & Enrico Maiorino & Arda Halu & Kimberly Glass & Rashmi B. Prasad & Joseph Loscalzo & Jianxi Gao & Amitabh Sharma, 2020. "Robustness and lethality in multilayer biological molecular networks," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    11. Wang, Zhuoyang & Chen, Guo & Liu, Long & Hill, David J., 2020. "Cascading risk assessment in power-communication interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    12. Xu, Peng-Cheng & Lu, Qing-Chang & Xie, Chi & Cheong, Taesu, 2024. "Modeling the resilience of interdependent networks: The role of function dependency in metro and bus systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    13. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    14. Zhao, Yanyan & Zhou, Jie & Zou, Yong & Guan, Shuguang & Gao, Yanli, 2022. "Characteristics of edge-based interdependent networks," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    15. Wang, Ning & Jin, Zi-Yang & Zhao, Jiao, 2021. "Cascading failures of overload behaviors on interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    16. Marten Scheffer & Jordi Bascompte & William A. Brock & Victor Brovkin & Stephen R. Carpenter & Vasilis Dakos & Hermann Held & Egbert H. van Nes & Max Rietkerk & George Sugihara, 2009. "Early-warning signals for critical transitions," Nature, Nature, vol. 461(7260), pages 53-59, September.
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