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Complexity and synchronization of the World trade Web

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  • Li, Xiang
  • Ying Jin, Yu
  • Chen, Guanrong
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    Abstract

    The complex topology of a network determines its dynamics. The world economy is now internationally connected through a globalization process of trading. The complex dynamical behaviors of the world economy have been studied as a dynamical system, but there does not seem to be any consideration of the effect of dynamics on the world trade network. In this paper, we attempt such a study and present the scale-free features of the degree distribution, as well as wealth and resource distributions on the World Trade Web (WTW). Moreover, the synchronization phenomenon of economic cycles on the WTW due to its scale-free features is discussed in detail.

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    Bibliographic Info

    Article provided by Elsevier in its journal Physica A: Statistical Mechanics and its Applications.

    Volume (Year): 328 (2003)
    Issue (Month): 1 ()
    Pages: 287-296

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    Handle: RePEc:eee:phsmap:v:328:y:2003:i:1:p:287-296

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    Web page: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/

    Related research

    Keywords: Complex network; World Trade Web; Scale-free feature; Economic cycle; Correlation;

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    Cited by:
    1. Barigozzi, Matteo & Fagiolo, Giorgio & Mangioni, Giuseppe, 2011. "Identifying the community structure of the international-trade multi-network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2051-2066.
    2. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2007. "International Trade and Financial Integration: a Weighted Network Analysis," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE) 2007-11, Observatoire Francais des Conjonctures Economiques (OFCE).
    3. Giorgio Fagiolo, 2009. "The International-Trade Network: Gravity Equations and Topological Properties," Papers 0908.2086, arXiv.org.
    4. Song, Dong-Ming & Jiang, Zhi-Qiang & Zhou, Wei-Xing, 2009. "Statistical properties of world investment networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2450-2460.
    5. Pau Erola & Albert Diaz-Guilera & Sergio Gomez & Alex Arenas, 2012. "Modeling international crisis synchronization in the World Trade Web," Papers 1201.2024, arXiv.org.
    6. Jiang, Zhi-Qiang & Zhou, Wei-Xing, 2010. "Complex stock trading network among investors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4929-4941.
    7. Fagiolo, Giorgio & Reyes, Javier & Schiavo, Stefano, 2008. "On the topological properties of the world trade web: A weighted network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3868-3873.
    8. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2007. "The Evolution of the World Trade Web," LEM Papers Series 2007/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Kii, Masanobu & Akimoto, Keigo & Doi, Kenji, 2012. "Random-growth urban model with geographical fitness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(23), pages 5960-5970.
    10. Wen, Guanghui & Duan, Zhisheng & Chen, Guanrong & Geng, Xianmin, 2011. "A weighted local-world evolving network model with aging nodes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 4012-4026.
    11. Fan, Ying & Ren, Suting & Cai, Hongbo & Cui, Xuefeng, 2014. "The state's role and position in international trade: A complex network perspective," Economic Modelling, Elsevier, vol. 39(C), pages 71-81.

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