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Community Structure of a Large-Scale Production Network in Japan

In: The Economics of Interfirm Networks

Author

Listed:
  • Takashi Iino

    (Niigata University)

  • Hiroshi Iyetomi

    (Niigata University)

Abstract

This chapter analyzes nationwide supplier–buyer relationship data for nearly a million firms and 4 million transactions in Japan. The production network constructed by firms through their transaction relations reflects the characteristics of economic activities in Japan. For an intuitive understanding of the network structure, we first visualize the network in three-dimensional space using a spring–electrostatic model. In this model, we replace nodes (firms) and links (transaction relations) by particles with identical charges and springs. This visualization shows that the network is highly heterogeneous, with some firms being tightly connected and forming groups, between which there are much looser connections. Such industrial communities are identified here using algorithms that maximize modularity, which measures the share of links encircled by a given partition of nodes, with reference to the expected share of intra-links for corresponding random networks with the same node partitions. Since major communities thereby detected are still very heterogeneous, the detection of communities is repeated within them. The 10 largest communities and their principal sub-communities are then characterized by areal and industry sectoral attributes of firms. In addition, how closely the sub-communities are related to each other is quantified by introducing a metric of “distance” between them. Finally, the hierarchical relationship between the communities is clarified by considering directional features of the transactions.

Suggested Citation

  • Takashi Iino & Hiroshi Iyetomi, 2015. "Community Structure of a Large-Scale Production Network in Japan," Advances in Japanese Business and Economics, in: Tsutomu Watanabe & Iichiro Uesugi & Arito Ono (ed.), The Economics of Interfirm Networks, edition 127, chapter 3, pages 39-65, Springer.
    • Handle: RePEc:spr:advchp:978-4-431-55390-8_3
    DOI: 10.1007/978-4-431-55390-8_3
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    Citations

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    Cited by:

    1. 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.
    2. Kumar, Ashish & Chakrabarti, Anindya S. & Chakraborti, Anirban & Nandi, Tushar, 2021. "Distress propagation on production networks: Coarse-graining and modularity of linkages," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    3. Chakraborty, Abhijit & Krichene, Hazem & Inoue, Hiroyasu & Fujiwara, Yoshi, 2019. "Characterization of the community structure in a large-scale production network in Japan," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 210-221.
    4. Yuji Fujita & Yoshi Fujiwara & Wataru Souma, 2016. "Large directed-graph layout and its application to a million-firms economic network," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 397-408, December.
    5. Ashish Kumar & Anindya S. Chakrabarti & Anirban Chakraborti & Tushar Nandi, 2020. "Distress propagation on production networks: Coarse-graining and modularity of linkages," Papers 2004.14485, arXiv.org.

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