• 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