Provided by: Creative Commons
Date Added: Aug 2014
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.