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On the topological properties of the world trade web: A weighted network analysis

Giorgio Fagiolo (), Javier Reyes and Stefano Schiavo

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Abstract: This paper studies the topological properties of the World Trade Web (WTW) and its evolution over time by employing a weighted-network analysis. We show that the WTW, viewed as a weighted network, displays statistical features that are very different from those obtained by using a traditional binary-network approach. In particular, we find that: (i) the majority of existing links are associated to weak trade relationships; (ii) the weighted WTW is only weakly disassortative; (iii) countries holding more intense trade relationships are more clustered.

Keywords: Weighted complex networks; World trade web; Econophysics (search for similar items in EconPapers)
Date: 2008-06
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Citations: View citations in EconPapers (16)

Published in Physica A: Statistical Mechanics and its Applications, 2008, 387 (15), pp.3868 - 3873. ⟨10.1016/j.physa.2008.01.050⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:spmain:hal-03417060

DOI: 10.1016/j.physa.2008.01.050

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