An supply chain network evolving model based on preferential attachment of path and degree

Abstract

Supply chain network is a complex giant system, and its complexity is determined by the structure of network. Empirical studies have been shown: the supply chain network had the scale-free and cluster characteristics, but today supply chain network models could not describe cluster characteristic of real network. This paper introduced a concept of path, and presentes a supply chain network model DPPA, which based on path and degree preferential attachment mechanism. This model depictes the scale-free feature of supply chain network, while also reflecting the cluster characteristic. The average cluster coefficient of this model with 5000 vertices in the network reached 0.5754, which can be controlled by the adjusting parameters of DPPA model. © 2011 Springer-Verlag Berlin Heidelberg.