2022Unpublished venueRequires access

Research on Cascading Failure Model and Robustness of Weighted Interdependent Networks

Xueming Xu, Gaoxin Qi, Jichao Li, Jiang Jiang

Open publisher page 2 citations

Abstract

Cascading failures often occur in real systems, and the modeling method of weighted interdependent networks can be closer to the physical reality. The cascading failure in complex network is rarely studied in weighted interdependent networks. On the one hand, the influence of network weight on node capacity and load-sharing strategy is seldom considered in the design of cascading failure model. On the other hand, the cascading failure process in weighted interdependent networks is seldom considered. In order to resist the cascade effect in the network, a new cascading failure model is proposed based on the construction of weighted interdependent networks, in which the initial load is constructed by incorporating the node strength, and the load-sharing strategy is designed by combining the residual capacity of nodes and the node importance. Secondly, considering the time-varying characteristics of load and the inter-layer dependence, the cascading failure algorithm of weighted interdependent networks is designed. Finally, the effect of parameters in the model on the network robustness and the performance of the model in different weighted interdependent networks are obtained through the analysis of network cascading failures, which verifies the effectiveness of the proposed method.

About this research paper

What this paper is about

Cascading failures often occur in real systems, and the modeling method of weighted interdependent networks can be closer to the physical reality. The cascading failure in complex network is rarely studied in weighted interdependent networks. On the one hand, the influence of network weight on node capacity and load-sharing strategy is seldom considered in the design of cascading failure model. On the other hand, the cascading failure process in weighted interdependent networks is seldom considered. In order to resist the cascade effect in the network, a new cascading failure model is proposed based on the construction of weighted interdependent networks, in which the initial load is constructed by incorporating the node strength, and the load-sharing strategy is designed by combining the residual capacity of nodes and the node importance. Secondly, considering the time-varying characteristics of load and the inter-layer dependence, the cascading failure algorithm of weighted interdependent networks is designed. Finally, the effect of parameters in the model on the network robustness and the performance of the model in different weighted interdependent networks are obtained through the analysis of network cascading failures, which verifies the effectiveness of the proposed method.

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Available abstract

Cascading failures often occur in real systems, and the modeling method of weighted interdependent networks can be closer to the physical reality. The cascading failure in complex network is rarely studied in weighted interdependent networks. On the one hand, the influence of network weight on node capacity and load-sharing strategy is seldom considered in the design of cascading failure model. On the other hand, the cascading failure process in weighted interdependent networks is seldom considered. In order to resist the cascade effect in the network, a new cascading failure model is proposed based on the construction of weighted interdependent networks, in which the initial load is constructed by incorporating the node strength, and the load-sharing strategy is designed by combining the residual capacity of nodes and the node importance. Secondly, considering the time-varying characteristics of load and the inter-layer dependence, the cascading failure algorithm of weighted interdependent networks is designed. Finally, the effect of parameters in the model on the network robustness and the performance of the model in different weighted interdependent networks are obtained through the analysis of network cascading failures, which verifies the effectiveness of the proposed method.

Key concepts: Cascading failure, Interdependent networks, Robustness (evolution), Computer science, Interdependence, Node (physics), Network model, Distributed computing

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