相互依存的网络
稳健性(进化)
超图
相互依存
计算机科学
级联故障
GSM演进的增强数据速率
可靠性(半导体)
复杂网络
数学
人工智能
离散数学
电力系统
基因
物理
万维网
量子力学
功率(物理)
化学
生物化学
法学
政治学
作者
Hao Peng,Ziyi Xie,Dandan Zhao,Ming Zhong,Jianmin Han,Wei Wang
出处
期刊:International Journal of Modern Physics C
[World Scientific]
日期:2022-08-08
卷期号:34 (02)
被引量:8
标识
DOI:10.1142/s0129183123500274
摘要
Nodes usually cooperate to form groups and survive or fail in real-world systems. Researchers typically consider the interdependence between node groups in studying the interdependent network. This paper studies the robustness of interdependent hypergraph networks under different attack strategies. According to the characteristics of the network model, we propose a series of target attack strategies and compare the destructive effect of these strategies on the network. Second, we analyze the impact of the random edge removal strategy on the robustness of hypergraph networks under different edge removal ratios. Finally, we propose four target-node edge removal strategies and compare their destructive effects on the network at the same edge removal ratios. Simulation results show that target attack and edge removal strategies can appreciably reduce the robustness of interdependent hypergraph networks and accelerate the networks’ collapse.
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