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Complex networks and economics


  • Souma, Wataru
  • Fujiwara, Yoshi
  • Aoyama, Hideaki


As the first step toward a study of complex networks in economics, we consider business networks categorized into bipartite networks. Through empirical study we show the possibility that business networks will fall into the scale-free category. To have an idea about the clustering coefficient and the averaged path length for bipartite networks, we perform a one-mode reduction. We calculate the quantities for networks constructed by banks and companies before/after a merger among banks, and quantitatively show that the merger among banks increases the cliquishness of companies and decreases the typical separation between two companies.

Suggested Citation

  • Souma, Wataru & Fujiwara, Yoshi & Aoyama, Hideaki, 2003. "Complex networks and economics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 396-401.
  • Handle: RePEc:eee:phsmap:v:324:y:2003:i:1:p:396-401
    DOI: 10.1016/S0378-4371(02)01858-7

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    1. repec:eee:phsmap:v:482:y:2017:i:c:p:296-307 is not listed on IDEAS
    2. Hashimzade, Nigar & Myles, Gareth D. & Rablen, Matthew D., 2016. "Predictive analytics and the targeting of audits," Journal of Economic Behavior & Organization, Elsevier, vol. 124(C), pages 130-145.
    3. Mizuno, Takayuki & Ohnishi, Takaaki & Watanabe, Tsutomu, 2016. "The structure of global inter-firm networks," HIT-REFINED Working Paper Series 37, Institute of Economic Research, Hitotsubashi University.
    4. Teteryatnikova, Mariya, 2014. "Systemic risk in banking networks: Advantages of “tiered” banking systems," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 186-210.
    5. Miśkiewicz, Janusz, 2013. "Power law classification scheme of time series correlations. On the example of G20 group," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2150-2162.
    6. He, Fang & Chen, Xi, 2016. "Credit networks and systemic risk of Chinese local financing platforms: Too central or too big to fail?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 158-170.
    7. repec:eee:phsmap:v:483:y:2017:i:c:p:57-67 is not listed on IDEAS
    8. Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "The role of banks in the Brazilian interbank market: Does bank type matter?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(27), pages 6825-6836.
    9. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    10. Xu, Tao & He, Jianmin & Li, Shouwei, 2016. "A dynamic network model for interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 131-138.
    11. An, Feng & Gao, Xiangyun & Guan, Jianhe & Li, Huajiao & Liu, Qian, 2016. "An evolution analysis of executive-based listed company relationships using complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 276-285.


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