基于最大连通子图相对效能的相依网络鲁棒性分析

Robustness Analysis of Interdependent Networks Based on the Largest-Component Relative Efficiency

  • 摘要: 目前鲁棒性指标的研究主要针对单一网络,而对相依网络的探究较少。为此,该文对鲁棒性研究中几个常用的鲁棒性指标进行探究,针对相依网络级联失效过程,提出了基于最大连通子图相对效能的鲁棒性度量指标,并通过仿真实验验证其合理性。结果表明,相比现有常用指标,该指标能更准确地衡量相依网络在级联失效过程中的鲁棒性变化,可适用于大规模相依网络中基于仿真的鲁棒性分析。

     

    Abstract: The research on robustness indicators is mainly focused on single network, but less on interdependent networks. This paper explores some commonly used robustness indicators. Aiming at the cascading failure of interdependent networks, a new robustness indicator based on the largest-component relative efficiency is proposed. With the simulation for rationality verification, the results show that the indicator proposed in this paper is more accurate to measure the robustness variations of the interdependent networks in the cascading failure process than those are commonly used at present, and it can be applied to simulation-based robustness analysis for large-scale interdependent networks.

     

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