Measurement and simulation of the relatively competitive advantages and weaknesses between economies based on bipartite graph theory

PLoS One. 2018 May 29;13(5):e0197575. doi: 10.1371/journal.pone.0197575. eCollection 2018.

Abstract

The input-output table is very comprehensive and detailed in describing the national economic systems with abundant economic relationships, which contain supply and demand information among various industrial sectors. The complex network, a theory, and method for measuring the structure of a complex system can depict the structural characteristics of the internal structure of the researched object by measuring the structural indicators of the social and economic systems, revealing the complex relationships between the inner hierarchies and the external economic functions. In this paper, functions of industrial sectors on the global value chain are to be distinguished with bipartite graph theory, and inter-sector competitive relationships are to be extracted through resource allocation process. Furthermore, quantitative analysis indices will be proposed under the perspective of a complex network, which will be used to bring about simulations on the variation tendencies of economies' status in different situations of commercial intercourses. Finally, a new econophysics analytical framework of international trade is to be established.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Commerce / economics
  • Computer Graphics
  • Computer Simulation
  • Databases, Factual
  • Economic Competition*
  • Humans
  • Industry / economics*
  • Internationality
  • Models, Economic*

Grants and funding

This study was supported by the Beijing Municipal Social Science Foundation, 17ZGC010, Dr. Lizhi Xing Ri-Xin Talents Project of Beijing University of Technology, N/A, Dr. Lizhi Xing Technology Plan Key Program of Beijing Municipal Education Commission grant no. KZ20181005010, Prof. Jun Guan.