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Statistical properties of world investment networks
Authors:Dong-Ming Song  Zhi-Qiang Jiang  Wei-Xing Zhou
Institution:a School of Business, East China University of Science and Technology, Shanghai 200237, China
b School of Science, East China University of Science and Technology, Shanghai 200237, China
c Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China
d Engineering Research Center of Process Systems Engineering (Ministry of Education), East China University of Science and Technology, Shanghai 200237, China
e Research Center on Fictitious Economics & Data Science, Chinese Academy of Sciences, Beijing 100080, China
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.
Keywords:89  65  Gh  89  75  Da  89  75  Hc
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