• DocumentCode
    2399514
  • Title

    Research of Consumer Characteristics of E-commerce Based on Complex Network Theory

  • Author

    Ni, Jing ; Zhong, Liangwei ; Ye, Lin ; Yan, Guangle

  • Author_Institution
    Bus. Sch., Univ. of Shanghai for Sci. & Technol., Shanghai, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    3129
  • Lastpage
    3132
  • Abstract
    Complex network theory is put forward in following research to analyze the statistical parameters of network business statically in E-commerce area. Empirical Study is based on the data provided by an online shopping website and statistical parameters such as enterprise act degree and clustering coefficient is studied accordingly. Thus we found that E-commerce displays the power law and clustering as most complex networks. It´s verified that the effect of customer nodes with high degree, so called as those customers with high loyalty, is important to develop new customer resources. Therefore we come to a conclusion that complex network theory is a feasible and effective tool for E-commerce company to deploy their business with the research of customer loyalty.
  • Keywords
    Internet; Web sites; customer services; electronic commerce; network theory (graphs); pattern clustering; retail data processing; clustering; complex network theory; consumer characteristics; customer loyalty; customer nodes; customer resources; e-commerce; network business; online shopping website; power law; statistical parameters; Bipartite graph; Companies; Complex networks; Equations; Fitting; Mathematical model; Bipartite graph; Clustering coefficient; Complete graph; Complex network; Degree distribution; E-commerce;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.788
  • Filename
    5590803