IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v324y2003i1p396-401.html
   My bibliography  Save this article

Complex networks and economics

Author

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

Abstract

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437102018587
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:324:y:2003:i:1:p:396-401. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.