Analysis of Research Parameters for Cascading Failures of Interdependent Network Based on the Giant Component
Chao Wang, Jilian Guo, Anwei Shen
Abstract
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Chao Wang, Jilian Guo, Anwei Shen
Abstract
Open-access reader
Abstract With the deepening of the research on complex network, the cascading failures problem of the interdependent network is one of the hot research issues in the field. Setting reasonable parameters in the cascading failures analysis of interdependent network is of great significance for subsequent research. The mechanism of common models generation is analyzed, and its formula expression form is constructed. Starting from the single network cascading failures pattern, combined with the interdependent network theory research, a cascading failures model of interdependent network based on the giant component is established. The robustness analysis of interdependent networks with different network scale and different average degree is carried out for three common interdependent networks: BA-BA, WS-WS and ER-ER. The best condition for the robustness study of the interdependent network is obtained. That is, the sub-network node scale NS = NC ≥ 100 and the average degree k = 6. The conclusions obtained in this paper can provide a reference for the study of cascading failures in power, communication and other interdependent networks.
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Abstract With the deepening of the research on complex network, the cascading failures problem of the interdependent network is one of the hot research issues in the field. Setting reasonable parameters in the cascading failures analysis of interdependent network is of great significance for subsequent research. The mechanism of common models generation is analyzed, and its formula expression form is constructed. Starting from the single network cascading failures pattern, combined with the interdependent network theory research, a cascading failures model of interdependent network based on the giant component is established. The robustness analysis of interdependent networks with different network scale and different average degree is carried out for three common interdependent networks: BA-BA, WS-WS and ER-ER. The best condition for the robustness study of the interdependent network is obtained. That is, the sub-network node scale NS = NC ≥ 100 and the average degree k = 6. The conclusions obtained in this paper can provide a reference for the study of cascading failures in power, communication and other interdependent networks.
Key concepts: Interdependent networks, Cascading failure, Interdependence, Robustness (evolution), Computer science, Network model, Component (thermodynamics), Complex network