DocumentCode :
3300008
Title :
The Directed Complex Network Application in the Supply Chain
Author :
Lei, Wen ; Mingfang, Guo ; Wng Lijun
Author_Institution :
Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding, China
fYear :
2012
fDate :
July 31 2012-Aug. 2 2012
Firstpage :
911
Lastpage :
914
Abstract :
Supply chain is a network composed by business entities with different function. This paper analysis the network statistic characteristics of model such as degree distribution, supply chain average shortest path and betweenness. The finally result shows that both in-degree and out-degree of the directed supply chain complex network node obey the power-law distribution and the directed supply chain complex network has a small supply chain average shortest effective path. And its clustering coefficient is a low average. Finally its betweenness centrality increases with the increase of the degree.
Keywords :
pattern clustering; supply chains; business entities; clustering coefficient; degree distribution; directed complex network application; directed supply chain complex network; in-degree; network statistic characteristics; out-degree; power-law distribution; supply chain average shortest effective path; supply chain betweenness; Automation; Manufacturing; Complex Networks; Statistic Characteristics; Supply Chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
Conference_Location :
GuiLin
Print_ISBN :
978-1-4673-2217-1
Type :
conf
DOI :
10.1109/ICDMA.2012.215
Filename :
6298664
Link To Document :
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