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Macroscopic features of production network and sequential graph drawing

Author

Listed:
  • Yuji Fujita

    (University of Hyogo)

  • Yoshi Fujiwara

    (University of Hyogo)

  • Wataru Souma

    (Nihon University)

Abstract

Nation-wide economic system has both stability and flexibility in normal condition. In this study, we solve how these two superficially inconsistent properties are materialized, by exploring macroscopic structure of production network of Japan. For the purpose of this analysis, we developed a method which can generate successive layouts of changing large-scale complex network. By applying the proposed method, we visualize a series of Japanese production network with supplier–customer link direction. It is already known that the Japanese production network has the so-called “bow-tie” structure of directed network. Our method lets us examine how the bow-tie structure changes along with time, to find a stable core part and ephemeral peripheral part. Combined with quantitative analysis, we found that it is the way of transformation of this structure that makes both integrity and flexibility possible within a single economic network.

Suggested Citation

  • Yuji Fujita & Yoshi Fujiwara & Wataru Souma, 2019. "Macroscopic features of production network and sequential graph drawing," Evolutionary and Institutional Economics Review, Springer, vol. 16(1), pages 183-199, June.
    • Handle: RePEc:spr:eaiere:v:16:y:2019:i:1:d:10.1007_s40844-019-00123-7
    DOI: 10.1007/s40844-019-00123-7
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    References listed on IDEAS

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    1. Y. Fujiwara & H. Aoyama, 2010. "Large-scale structure of a nation-wide production network," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 77(4), pages 565-580, October.
    2. Abhijit Chakraborty & Yuichi Kichikawa & Takashi Iino & Hiroshi Iyetomi & Hiroyasu Inoue & Yoshi Fujiwara & Hideaki Aoyama, 2018. "Hierarchical communities in the walnut structure of the Japanese production network," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-25, August.
    3. Inoue, Hiroyasu & Todo, Yasuyuki, 2017. "Firm-level simulation of supply chain disruption triggered by actual and predicted earthquakes," MPRA Paper 82920, University Library of Munich, Germany, revised 22 Feb 2017.
    4. Hazem KRICHENE & ARATA Yoshiyuki & Abhijit CHAKRABORTY & FUJIWARA Yoshi & INOUE Hiroyasu, 2018. "How Firms Choose their Partners in the Japanese Supplier-Customer Network? An application of the exponential random graph model," Discussion papers 18011, Research Institute of Economy, Trade and Industry (RIETI).
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Yuichi Ikeda, 2019. "Special feature: Econophysics 2017: synergetic fusion of econophysics and other fields of science—Part II," Evolutionary and Institutional Economics Review, Springer, vol. 16(1), pages 181-182, June.

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    More about this item

    Keywords

    Production network; Visualization; Time-series;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • Y91 - Miscellaneous Categories - - Other - - - Pictures and Maps
    • Y8 - Miscellaneous Categories - - Related Disciplines

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