• DocumentCode
    2570070
  • Title

    The input-output connection analysis of industry structure based on complex network theory

  • Author

    Fang, Aili ; Wang, Zhenling ; Zhang, Siying

  • Author_Institution
    Sch. of Math. & Inf., Ludong Univ., Yantai
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    4809
  • Lastpage
    4813
  • Abstract
    In order to deeply reveal the structure characters of the real weighted complex networks, the clustering and correlation measures are given and compared from the view of topological and weighted network respectively. The structure of Chinese national economics in 2002 is set as an example to illustrate. The complex network model of national economic industry departments is established, the clustering and correlation characters of this industry relation network are analyzed by the software tool MATLAB with the data coming from the input-output data published by the national economic accounting department, therefore the input-output association structure characters of the national economic departments in our country are sufficiently explored.
  • Keywords
    correlation methods; economic cybernetics; industries; network theory (graphs); pattern clustering; topology; clustering measure; complex network model; complex network theory; correlation measure; industry structure; input-output connection analysis; national economic industry; topological network; weighted network; Complex networks; Computer industry; Industrial economics; Industrial relations; Macroeconomics; Mathematical model; Mathematics; Nearest neighbor searches; Network topology; Power generation economics; Clustering; Complex networks; Correlation; Industry departments; Weighted networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4598242
  • Filename
    4598242