Input-output relevancy network modeling and analysis

  • Authors:
  • Aili Fang;Siying Zhang

  • Affiliations:
  • School of Mathematics and Information, Ludong University, Yantai, China;Institute of Complexity Science, Qingdao University, Qingdao, China

  • Venue:
  • CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
  • Year:
  • 2009

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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.