On the Topological Properties of the World Trade Web: A Weighted Network Analysis

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Fagiolo, Giorgio
Reyes, Javier
Schiavo, Stefano
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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.
Comment: To be submitted to APFA 6 Proceedings. 8 pages, 10 figures
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Quantitative Finance - General Finance, Physics - Physics and Society
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