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Statistical properties of world investment networks

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  • Song, Dong-Ming
  • Jiang, Zhi-Qiang
  • Zhou, Wei-Xing
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    Abstract

    We have performed a detailed investigation on the world investment networks constructed from the Coordinated Portfolio Investment Survey (CPIS) data of the International Monetary Fund, ranging from 2001 to 2006. The distributions of degrees and node strengths are scale-free. The weight distributions can be well modeled by the Weibull distribution. The maximum flow spanning trees of the world investment networks possess two universal allometric scaling relations, independent of time and the investment type. The topological scaling exponent is 1.17±0.02 and the flow scaling exponent is 1.03±0.01.

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    Bibliographic Info

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

    Volume (Year): 388 (2009)
    Issue (Month): 12 ()
    Pages: 2450-2460

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    Handle: RePEc:eee:phsmap:v:388:y:2009:i:12:p:2450-2460

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

    Related research

    Keywords: Econophysics; Complex networks; World investment network; Probability distribution; Allometric scaling;

    References

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    Citations

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    Cited by:
    1. Shu-Heng Chen & Sai-Ping Li, 2011. "Econophysics: Bridges over a Turbulent Current," Papers 1107.5373, arXiv.org.
    2. 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.
    3. Wen-Qi Duan, 2012. "Modelling the Evolution of National Economies Based on Input–Output Networks," Computational Economics, Society for Computational Economics, vol. 39(2), pages 145-155, February.
    4. Liu, Chuang & Zhou, Wei-Xing & Yuan, Wei-Kang, 2010. "Statistical properties of visibility graph of energy dissipation rates in three-dimensional fully developed turbulence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(13), pages 2675-2681.
    5. Toivanen, Mervi, 2013. "Contagion in the interbank network: An epidemiological approach," Research Discussion Papers 19/2013, Bank of Finland.
    6. Yang, Chunxia & Chen, Yanhua & Niu, Lei & Li, Qian, 2014. "Cointegration analysis and influence rank—A network approach to global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 168-185.

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