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On the topological properties of the world trade web: A weighted network analysis
Authors:Giorgio Fagiolo  Javier Reyes
Affiliation:a Laboratory of Economics and Management, Sant’Anna School of Advanced Studies, Pisa, Italy
b Department of Economics, Sam M. Walton College of Business, University of Arkansas, USA
c Observatoire Français des Conjonctures Économiques, Département de Recherche sur l’Innovation et la Concurrence, Valbonne, France
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:89.75.-k   89.65.Gh   87.23.Ge   05.70.Ln   05.40.-a
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