• DocumentCode
    601264
  • Title

    Complex Network-Oriented Analysis on Business Service Ecosystem

  • Author

    Yihang Luo ; Yushun Fan

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2013
  • fDate
    11-13 April 2013
  • Firstpage
    18
  • Lastpage
    23
  • Abstract
    Service-oriented approach has changed the pattern of providing products and services in business area. Through supply chain on the online platform, many business entities (consumers and providers) can now make business transactions in a more extensive and convenient way. As huge business entities and their complex correlations exist and evolve continuously, this system is regarded as Business Service Ecosystem (BSE). It is critical to discern BSE´s topology structure and evolution rule, to support its management. In this paper, first, business correlation model and key features of BSE are investigated; then, a Complex Network-oriented Analysis Framework (CNOAF) is proposed, which aims to solve the above problem, and a Time-based Correlation Bipartite Graph is established as the core model to deal with correlation; finally, an empirical study of marine logistic service indicates the effectiveness of CNOAF, and several valuable insights are obtained for its development.
  • Keywords
    commerce; complex networks; network theory (graphs); BSE evolution rule; BSE topology structure; CNOAF; business entity; business service ecosystem; business transaction; complex network-oriented analysis framework; marine logistic service; service-oriented approach; supply chain; time-based correlation bipartite graph; Analytical models; Bipartite graph; Business; Correlation; Ecosystems; Marine vehicles; Silicon; business correlation; business service ecosystem; complex network; service management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Sciences (ICSS), 2013 International Conference on
  • Conference_Location
    Shenzhen
  • ISSN
    2165-3836
  • Print_ISBN
    978-1-4673-6258-0
  • Type

    conf

  • DOI
    10.1109/ICSS.2013.21
  • Filename
    6519755