On the topological properties of the world trade web: A weighted network analysis |
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Authors: | Giorgio Fagiolo Javier Reyes |
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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 |
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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. |
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Keywords: | 89.75.-k 89.65.Gh 87.23.Ge 05.70.Ln 05.40.-a |
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