IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v324y2003i1p430-436.html
   My bibliography  Save this article

The small-world of economy: a speculative proposal

Author

Listed:
  • Corso, G.
  • Lucena, L.S.
  • Thomé, Z.D.

Abstract

Using the small-world approach we suggest a network model for the economy. Our basic assumption is that the economic agents prefer to make business with the big business. This assumption makes the preferential attachment the main mechanism for the evolution of the economic network. We hypothesize that the connectivity of the economic network should reflect the wealth distribution of the society which is considered to be an exponential truncated power law. The objective of this paper is to model qualitatively the wealth distribution of a society using concepts based on evolving network. Several alternatives of evolving networks are discussed in an economic context.

Suggested Citation

  • Corso, G. & Lucena, L.S. & Thomé, Z.D., 2003. "The small-world of economy: a speculative proposal," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 430-436.
    • Handle: RePEc:eee:phsmap:v:324:y:2003:i:1:p:430-436
    DOI: 10.1016/S0378-4371(02)01883-6
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437102018836
    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
    File URL: https://libkey.io/10.1016/S0378-4371(02)01883-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Brendan Markey-Towler & John Foster, 2013. "Understanding the causes of income inequality in complex economic systems," Discussion Papers Series 478, School of Economics, University of Queensland, Australia.
    2. Stéphane Hallegatte & Fanny Henriet, 2008. "Assessing the Consequences of Natural Disasters on Production Networks: A Disaggregated Approach," Working Papers 2008.100, Fondazione Eni Enrico Mattei.
    3. Merza, Ádám & London, András & Kiss, István Márton & Pelle, Anita & Dombi, József & Németh, Tamás, 2016. "A világkereskedelem hálózatelméleti vizsgálatának lehetőségeiről [The scope for analysis of world trade through network theory]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 79-98.

    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:430-436. See general information about how to correct material in RePEc.

    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 bibliographic 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.

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

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.