Model for cascading failures on complex networks based on local characteristics of nodes
Duo Wang
Abstract
Duo Wang
Abstract
To better explore the universal robustness against cascading failures on complex networks,closely focusing on the load which is the most important physical quantity that can affect the occurrence and spread of cascading failure,and dynamic process after a node fails,a cascading model with tunable parameters is proposed based on the local characteristic of a node.We obtain numerically the relation between the robustness against cascading failures on complex networks and parameters in the model,and discuss the effect of the average degree of a network for cascading failures.In addition,simulation results also are verified by the analysis of the different network graphs and the theory.
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To better explore the universal robustness against cascading failures on complex networks,closely focusing on the load which is the most important physical quantity that can affect the occurrence and spread of cascading failure,and dynamic process after a node fails,a cascading model with tunable parameters is proposed based on the local characteristic of a node.We obtain numerically the relation between the robustness against cascading failures on complex networks and parameters in the model,and discuss the effect of the average degree of a network for cascading failures.In addition,simulation results also are verified by the analysis of the different network graphs and the theory.
Key concepts: Cascading failure, Robustness (evolution), Computer science, Interdependent networks, Complex network, Distributed computing, Node (physics), Topology (electrical circuits)