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

Author

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  • Jun Guan
  • Xiaoyu Xu
  • Shan Wu
  • Lizhi Xing

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.

Suggested Citation

  • Jun Guan & Xiaoyu Xu & Shan Wu & Lizhi Xing, 2018. "Measurement and simulation of the relatively competitive advantages and weaknesses between economies based on bipartite graph theory," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-28, May.
    • Handle: RePEc:plo:pone00:0197575
    DOI: 10.1371/journal.pone.0197575
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    References listed on IDEAS

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    Cited by:

    1. Francisco Benita & Serhad Sarica & Garvit Bansal, 2020. "Testing the static and dynamic performance of statistical methods for the detection of national industrial clusters," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 1137-1157, August.
    2. Yanling Jin & Yi Xu & Rui Li & Changping Zhao & Zhenghui Yuan, 2022. "Comprehensive Evaluation of China’s Input–Output Sector Status Based on the Entropy Weight-Social Network Analysis Method," Sustainability, MDPI, vol. 14(21), pages 1-25, November.
    3. Diego Kozlowski & Viktoriya Semeshenko & Andrea Molinari, 2021. "Latent Dirichlet allocation model for world trade analysis," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-18, February.

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