The Research of Single_Node Risk Spread in Supply Chain Complex Network Based on Fixed Risk Values

Abstract

Complex networks cannot only describe the complicated, asynchronous system, but also can be used to model and analyze network topological properties. Sophisticated methods for network construction and analysis exist in other fields. But until recently, researchers have few focused on the risk spread of a supply chain network. In this paper, a supply chain risk network based on single_node risk spread is modeled and the static network statistics are analyzed, including degree distribution, risk distribution, average path length and clustering coefficient. The simulation results indicate that supply chain complex network is a small-world network with short average path length and high degree of clustering, and its degree distribution and risk distribution follow a double power law. In addition, the average risk tends to decrease with the total number of risk node increase in supply chain risk spread network.