• DocumentCode
    479691
  • Title

    Multi-event complex logistics network model

  • Author

    Ju, Songdong ; Bian, Wenliang

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1181
  • Lastpage
    1185
  • Abstract
    Recently a networking trend is emerging in the development of modern logistics. The logistics network (LN) is complex society network with complex form and mechanism. More and more scholars have paid their attention to the study to LN. In this paper, we present a growing network model adapted to LN practice, then use it to theoretic researches, which has enrich and improve the original model proposed by R. Alert and A-L. Barabasi. We have not only proved that the degree distribution of such complex logistics network has be power-law, but also introduce and analyze some parameters in the model in order to help people to understand the real logistics network distinctly. At last, we hope the paper will introduce a new angle of view to network complexity research in logistics field.
  • Keywords
    complex networks; logistics; management science; social sciences; complex society network; multi-event complex logistics network; network complexity; social network; Complex networks; Context modeling; Educational products; Educational technology; Isolation technology; Logistics; Power generation economics; Social network services; Transportation; Web sites; complex network; logistics; logistics network; preferential attachment; scale-free;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2012-4
  • Electronic_ISBN
    978-1-4244-2013-1
  • Type

    conf

  • DOI
    10.1109/SOLI.2008.4686578
  • Filename
    4686578