Cluster Supply Chain Network Evolving Model Based on Degree and Path Preferential Attachment
Liu Yan-chu
Abstract
Liu Yan-chu
Abstract
Cluster supply chain network shows scale-free,high cluster and other characteristics.Previous studies ignore the high cluster characteristic of supply chain network,which makes the current supply chain network model unable to describe the real cluster supply chain network.Through the specific analysis of cluster supply chain network evolution characteristics,this paper presents a cluster supply chain network evolving model based on degree and path preferential attachment,which makes up the deficiencies of preferential attachment only depending on degree.Finally,a numerical simulation is performed on the parameters of degree distribution,cluster coefficient and average shortest path of cluster supply chain network.The results show that our model can not only reflect scale-free characteristics of cluster supply chain network,but also realistically describe its high cluster characteristics.
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Cluster supply chain network shows scale-free,high cluster and other characteristics.Previous studies ignore the high cluster characteristic of supply chain network,which makes the current supply chain network model unable to describe the real cluster supply chain network.Through the specific analysis of cluster supply chain network evolution characteristics,this paper presents a cluster supply chain network evolving model based on degree and path preferential attachment,which makes up the deficiencies of preferential attachment only depending on degree.Finally,a numerical simulation is performed on the parameters of degree distribution,cluster coefficient and average shortest path of cluster supply chain network.The results show that our model can not only reflect scale-free characteristics of cluster supply chain network,but also realistically describe its high cluster characteristics.
Key concepts: Supply chain, Cluster (spacecraft), Degree (music), Path (computing), Supply chain network, Average path length, Scale-free network, Shortest path problem