• DocumentCode
    571336
  • Title

    Evolution Model and Critical Mass of E-business Platform Based on Complex Networks

  • Author

    Huang, Ou ; Duan, Wenqi

  • Author_Institution
    Coll. of Econ. & Manage., Zhejiang Normal Univ., Jinhua, China
  • fYear
    2012
  • fDate
    18-21 Aug. 2012
  • Firstpage
    60
  • Lastpage
    64
  • Abstract
    E-business platform is of typical characteristics of networked market, in which the positive feedback mechanism leads to platform success provided that the number of platform users surpasses its critical mass. Otherwise, the platform would diminish and disappear in the market under the effect of the negative feedback mechanism. This paper, based on the complex network method, developed a dynamical model to describe the number of platform users varying with the time after the platform introduced into market. Then, we analyzed the influence factors and functional mechanisms in determining the critical mass of platform users based on the proposed platform diffusion model. Results show that (1) the platform user network structure and the user decision threshold value are the main factors to determine the critical mass of platform users (2) the heterogeneity of network structure (the standard deviation of degree distributions) is in roughly power function of the critical mass of platform users.
  • Keywords
    Internet; complex networks; diffusion; electronic commerce; feedback; marketing data processing; complex network; critical mass; dynamical model; e-business; evolution model; feedback mechanism; functional mechanism; market data processing; platform diffusion model; user decision threshold value; Business; Complex networks; Diffusion processes; Economics; Educational institutions; Standards; Switches; E-Business platform; complex networks; critical mass of users;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering (BIFE), 2012 Fifth International Conference on
  • Conference_Location
    Lanzhou
  • Print_ISBN
    978-1-4673-2092-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2012.21
  • Filename
    6305080