• DocumentCode
    2801026
  • Title

    Input-output relevancy network modeling and analysis

  • Author

    Fang, Aili ; Zhang, Siying

  • Author_Institution
    Sch. of Math. & Inf., Ludong Univ., Yantai, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    1058
  • Lastpage
    1061
  • Abstract
    From the viewpoint of complex networks, an input-output relevancy complex network model is established to describe the input-output relations among the industry departments in the national economy. The main statistical network characters including weight and strength distribution, clustering coefficient and average distance are discussed by analyzing the real data published by the National Economic Accounting Department. The results show that the input and output amounts among the departments are disequilibrium, few departments are dominant while most departments have little input between each other. This modeling and analysis propose a new way to study the economic structure and provide a basis for the government´s policy making.
  • Keywords
    complex networks; econometrics; macroeconomics; statistical analysis; National Economic Accounting Department; clustering coefficient; complex networks; industry departments; input-output relevancy complex network modeling; national economy; statistical network characters; strength distribution; weight distribution; Complex networks; Data analysis; Electronic mail; Government; Industrial relations; Macroeconomics; Mathematics; Power generation economics; Production systems; Average Distance; Clustering Coefficient; Complex Network; Input-output Relevancy Network; Weight and Strength Distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192892
  • Filename
    5192892