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Universal scaling behaviour in weighted trade networks

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  • W. Q. Duan

Abstract

Identifying universal patterns in complex economic systems can reveal the dynamics and organizing principles underlying the process of system evolution. We investigate the scaling behaviours that have emerged in the international trade system by describing them as a series of evolving weighted trade networks. The maximum-flow spanning trees (constructed by maximizing the total weight of the edges) of these networks exhibit two universal scaling exponents: (1) topological scaling exponent η=1.30 and (2) flow scaling exponent ζ=1.03. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2007

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  • W. Q. Duan, 2007. "Universal scaling behaviour in weighted trade networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 59(2), pages 271-276, September.
    • Handle: RePEc:spr:eurphb:v:59:y:2007:i:2:p:271-276
    DOI: 10.1140/epjb/e2007-00279-y
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    Citations

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    Cited by:

    1. Nobi, Ashadun & Lee, Tae Ho & Lee, Jae Woo, 2020. "Structure of trade flow networks for world commodities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    2. Peiteng Shi & Jiang Zhang & Bo Yang & Jingfei Luo, 2014. "Hierarchicality of Trade Flow Networks Reveals Complexity of Products," Papers 1401.3103, arXiv.org.
    3. Liu, Chuang & Zhou, Wei-Xing & Yuan, Wei-Kang, 2010. "Statistical properties of visibility graph of energy dissipation rates in three-dimensional fully developed turbulence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(13), pages 2675-2681.
    4. Iliopoulos, Panagiotis (Takis), 2022. "A quantitative analysis of governance structures in the world economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    5. Shu-Heng Chen & Sai-Ping Li, 2011. "Econophysics: Bridges over a Turbulent Current," Papers 1107.5373, arXiv.org.
    6. Peiteng Shi & Jiang Zhang & Bo Yang & Jingfei Luo, 2014. "Hierarchicality of Trade Flow Networks Reveals Complexity of Products," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-10, June.
    7. Song, Dong-Ming & Jiang, Zhi-Qiang & Zhou, Wei-Xing, 2009. "Statistical properties of world investment networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2450-2460.

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