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A preferential attachment strategy for connectivity link addition strategy in improving the robustness of interdependent networks

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  • Wang, Xingyuan
  • Cao, Jianye
  • Li, Rui
  • Zhao, Tianfang

Abstract

Given the same two networks and only one-to-one interlinks are allowed, apparently interdependent networks coupled by these two networks has the optimal robustness when we connect every pair of the same nodes in these two networks. According to the structure of this interdependent network with the optimal robustness, we propose a preferential attachment strategy. And by applying this preferential attachment strategy to three existing connectivity link addition strategies RA (random addition strategy), LD (low degree addition strategy) and LIDD (low inter degree–degree difference addition strategy), we find that each improved strategy is obviously better than before in improving the robustness of interdependent networks. Our findings can provide guidance on connectivity link addition strategy to improve robustness of interdependent networks against cascading failures.

Suggested Citation

  • Wang, Xingyuan & Cao, Jianye & Li, Rui & Zhao, Tianfang, 2017. "A preferential attachment strategy for connectivity link addition strategy in improving the robustness of interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 412-422.
  • Handle: RePEc:eee:phsmap:v:483:y:2017:i:c:p:412-422
    DOI: 10.1016/j.physa.2017.04.128
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    References listed on IDEAS

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    12. Zang, Tianlei & Gao, Shibin & Liu, Baoxu & Huang, Tao & Wang, Tao & Wei, Xiaoguang, 2019. "Integrated fault propagation model based vulnerability assessment of the electrical cyber-physical system under cyber attacks," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 232-241.
    13. Wang, Tao & Cheng, Heming & Wang, Xiaoxia, 2020. "A link addition method based on uniformity of node degree in interdependent power grids and communication networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
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