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Cascading failure in scale-free networks with tunable clustering

Author

Listed:
  • Xue-Jun Zhang

    (School of Electronic and Information Engineering, Beihang University, Beijing 100191, P. R. China2National Key Laboratory of CNS/ATM, Beihang University, Beijing 100191, P. R. China)

  • Bo Gu

    (School of Electronic and Information Engineering, Beihang University, Beijing 100191, P. R. China2National Key Laboratory of CNS/ATM, Beihang University, Beijing 100191, P. R. China)

  • Xiang-Min Guan

    (Department of General Aviation, Civil Aviation Management Institute of China, Beijing 100102, P. R. China)

  • Yan-Bo Zhu

    (School of Electronic and Information Engineering, Beihang University, Beijing 100191, P. R. China2National Key Laboratory of CNS/ATM, Beihang University, Beijing 100191, P. R. China)

  • Ren-Li Lv

    (Department of General Aviation, Civil Aviation Management Institute of China, Beijing 100102, P. R. China)

Abstract

Cascading failure is ubiquitous in many networked infrastructure systems, such as power grids, Internet and air transportation systems. In this paper, we extend the cascading failure model to a scale-free network with tunable clustering and focus on the effect of clustering coefficient on system robustness. It is found that the network robustness undergoes a nonmonotonic transition with the increment of clustering coefficient: both highly and lowly clustered networks are fragile under the intentional attack, and the network with moderate clustering coefficient can better resist the spread of cascading. We then provide an extensive explanation for this constructive phenomenon via the microscopic point of view and quantitative analysis. Our work can be useful to the design and optimization of infrastructure systems.

Suggested Citation

  • Xue-Jun Zhang & Bo Gu & Xiang-Min Guan & Yan-Bo Zhu & Ren-Li Lv, 2016. "Cascading failure in scale-free networks with tunable clustering," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(08), pages 1-10, August.
    • Handle: RePEc:wsi:ijmpcx:v:27:y:2016:i:08:n:s0129183116500935
    DOI: 10.1142/S0129183116500935
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    Cited by:

    1. Guo, Jingni & Xu, Junxiang & He, Zhenggang & Liao, Wei, 2021. "Research on risk propagation method of multimodal transport network under uncertainty," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).

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