IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v57y2007i2p159-164.html
   My bibliography  Save this article

Interplay between topology and dynamics in the World Trade Web

Author

Listed:
  • D. Garlaschelli
  • T. Di Matteo
  • T. Aste
  • G. Caldarelli
  • M. I. Loffredo

Abstract

We present an empirical analysis of the network formed by the trade relationships between all world countries, or World Trade Web (WTW). Each (directed) link is weighted by the amount of wealth flowing between two countries, and each country is characterized by the value of its Gross Domestic Product (GDP). By analysing a set of year-by-year data covering the time interval 1950–2000, we show that the dynamics of all GDP values and the evolution of the WTW (trade flow and topology) are tightly coupled. The probability that two countries are connected depends on their GDP values, supporting recent theoretical models relating network topology to the presence of a `hidden' variable (or fitness). On the other hand, the topology is shown to determine the GDP values due to the exchange between countries. This leads us to a new framework where the fitness value is a dynamical variable determining, and at the same time depending on, network topology in a continuous feedback. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2007

Suggested Citation

  • D. Garlaschelli & T. Di Matteo & T. Aste & G. Caldarelli & M. I. Loffredo, 2007. "Interplay between topology and dynamics in the World Trade Web," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 57(2), pages 159-164, May.
  • Handle: RePEc:spr:eurphb:v:57:y:2007:i:2:p:159-164
    DOI: 10.1140/epjb/e2007-00131-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1140/epjb/e2007-00131-6
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1140/epjb/e2007-00131-6?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.

    References listed on IDEAS

    as
    1. Corrado Di Guilmi & Mauro Gallegati & Edoardo Gaffeo, 2003. "Power Law Scaling in the World Income Distribution," Economics Bulletin, AccessEcon, vol. 15(6), pages 1-7.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Diego Garlaschelli & Maria I. Loffredo, 2007. "Effects of network topology on wealth distributions," Papers 0711.4710, arXiv.org, revised Jan 2008.
    2. Hernández-Ramírez, E. & del Castillo-Mussot, M. & Hernández-Casildo, J., 2021. "World per capita gross domestic product measured nominally and across countries with purchasing power parity: Stretched exponential or Boltzmann–Gibbs distribution?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    3. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.
    4. Davide Provenzano, 2017. "On the World Distribution of Income," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(1), pages 189-196, March.
    5. Carlo Bianchi & Pasquale Cirillo & Mauro Gallegati & Pietro Vagliasindi, 2007. "Validating and Calibrating Agent-Based Models: A Case Study," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 245-264, October.
    6. D'Orazio, Paola, 2019. "Income inequality, consumer debt, and prudential regulation: An agent-based approach to study the emergence of crises and financial instability," Economic Modelling, Elsevier, vol. 82(C), pages 308-331.
    7. Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.
    8. Roki Iwahashi & Tomohiro Machikita, 2004. "A new empirical regularity in world income distribution dynamics, 1960-2001," Economics Bulletin, AccessEcon, vol. 6(19), pages 1-15.
    9. Alexander M. Petersen & Boris Podobnik & Davor Horvatic & H. Eugene Stanley, 2010. "Scale invariant properties of public debt growth," Papers 1002.2491, arXiv.org.
    10. Anirban Ghatak & Sudarshan Iyengar, 2014. "Corruption Breeds Corruption," Studies in Microeconomics, , vol. 2(1), pages 121-132, June.
    11. Biggiero, Lucio & Angelini, Pier Paolo, 2015. "Hunting scale-free properties in R&D collaboration networks: Self-organization, power-law and policy issues in the European aerospace research area," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 21-43.
    12. Tomson Ogwang, 2011. "Power laws in top wealth distributions: evidence from Canada," Empirical Economics, Springer, vol. 41(2), pages 473-486, October.
    13. Fix, Blair, 2021. "Redistributing Income Through Hierarchy," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue 98, pages 58-86.
    14. Jia Shao & Plamen Ch. Ivanov & Boris Podobnik & H. Eugene Stanley, 2007. "Quantitative relations between corruption and economic factors," Papers 0705.0161, arXiv.org.
    15. Blair Fix, 2018. "Hierarchy and the power-law income distribution tail," Journal of Computational Social Science, Springer, vol. 1(2), pages 471-491, September.
    16. Rafael González-Val & Marcos Sanso-Navarro, 2010. "Gibrat’s law for countries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(4), pages 1371-1389, September.
    17. repec:ebl:ecbull:v:6:y:2004:i:19:p:1-15 is not listed on IDEAS
    18. G. Fagiolo & M. Napoletano & A. Roventini, 2007. "How do output growth-rate distributions look like? Some cross-country, time-series evidence," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 57(2), pages 205-211, May.
    19. Podobnik, Boris & Dabić, Marina & Wild, Dorian & Di Matteo, Tiziana, 2023. "The impact of STEM on the growth of wealth at varying scales, ranging from individuals to firms and countries: The performance of STEM firms during the pandemic across different markets," Technology in Society, Elsevier, vol. 72(C).
    20. Shana M. Sundstrom & David G. Angeler & Ahjond S. Garmestani & Jorge H. García & Craig R. Allen, 2014. "Transdisciplinary Application of Cross-Scale Resilience," Sustainability, MDPI, vol. 6(10), pages 1-24, October.
    21. Andrea Monaco & Matteo Ghio & Adamaria Perrotta, 2024. "Wealth dynamics in a multi-aggregate closed monetary system," Papers 2401.09871, arXiv.org.

    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:spr:eurphb:v:57:y:2007:i:2:p:159-164. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.