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The dynamic correlation between degree and betweenness of complex network under attack

Author

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  • Nie, Tingyuan
  • Guo, Zheng
  • Zhao, Kun
  • Lu, Zhe-Ming

Abstract

Complex networks are often subjected to failure and attack. Recent work has addressed the resilience of complex networks to either random or intentional deletion of nodes or links. Here we simulate the breakdown of the small-world network and the scale-free network under node failure or attacks. We analyze and discuss the dynamic correlation between degree and betweenness in the process of attack. The simulation results show that the correlation for scale-free network obeys a power law distribution until the network collapses, while it represents irregularly for small-world network.

Suggested Citation

  • Nie, Tingyuan & Guo, Zheng & Zhao, Kun & Lu, Zhe-Ming, 2016. "The dynamic correlation between degree and betweenness of complex network under attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 129-137.
    • Handle: RePEc:eee:phsmap:v:457:y:2016:i:c:p:129-137
    DOI: 10.1016/j.physa.2016.03.075
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    Citations

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    Cited by:

    1. Jisha Mariyam John & Michele Bellingeri & Divya Sindhu Lekha & Davide Cassi & Roberto Alfieri, 2023. "Effect of Weight Thresholding on the Robustness of Real-World Complex Networks to Central Node Attacks," Mathematics, MDPI, vol. 11(16), pages 1-12, August.
    2. Feng, Shumin & Xin, Mengwei & Lv, Tianling & Hu, Baoyu, 2019. "A novel evolving model of urban rail transit networks based on the local-world theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    3. Chen, Shenwen & Du, Wenbo & Liu, Runran & Cao, Xianbin, 2023. "Finding spatial and temporal features of delay propagation via multi-layer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 614(C).

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