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Exponential random graph models for the Japanese bipartite network of banks and firms

Author

Listed:
  • Abhijit Chakraborty

    (The University of Hyogo)

  • Hazem Krichene

    (The University of Hyogo)

  • Hiroyasu Inoue

    (The University of Hyogo)

  • Yoshi Fujiwara

    (The University of Hyogo)

Abstract

We use the exponential random graph models to understand the network structure and its generative process for the Japanese bipartite network of banks and firms. One of the well-known and simple models of the exponential random graph is the Bernoulli model which shows that the links in the bank–firm network are not independent from each other. Another popular exponential random graph model, the two-star model, indicates that the bank–firms are in a state where the macroscopic variables of the system can show large fluctuations. Moreover, the presence of high fluctuations reflects a fragile nature of the bank–firm network.

Suggested Citation

  • Abhijit Chakraborty & Hazem Krichene & Hiroyasu Inoue & Yoshi Fujiwara, 2019. "Exponential random graph models for the Japanese bipartite network of banks and firms," Journal of Computational Social Science, Springer, vol. 2(1), pages 3-13, January.
    • Handle: RePEc:spr:jcsosc:v:2:y:2019:i:1:d:10.1007_s42001-019-00034-y
    DOI: 10.1007/s42001-019-00034-y
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    References listed on IDEAS

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    1. Hunter, David R. & Handcock, Mark S. & Butts, Carter T. & Goodreau, Steven M. & Morris, Martina, 2008. "ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i03).
    2. Sean L Simpson & Satoru Hayasaka & Paul J Laurienti, 2011. "Exponential Random Graph Modeling for Complex Brain Networks," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-11, May.
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    Cited by:

    1. Abhijit Chakraborty & Hiroyasu Inoue & Yoshi Fujiwara, 2020. "Economic complexity of prefectures in Japan," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-13, August.
    2. Zhou Huang & Ganmin Yin & Xia Peng & Xiao Zhou & Quanhua Dong, 2023. "Quantifying the environmental characteristics influencing the attractiveness of commercial agglomerations with big geo-data," Environment and Planning B, , vol. 50(9), pages 2470-2490, November.
    3. Abhijit Chakraborty & Hiroyasu Inoue & Yoshi Fujiwara, 2020. "Economic complexity of prefectures in Japan," Papers 2002.05785, arXiv.org, revised Aug 2020.
    4. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2023. "The financial network channel of monetary policy transmission: an agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 533-571, July.

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