Multinetwork of international trade: A commodity-specific analysis

Matteo Barigozzi, Giorgio Fagiolo, and Diego Garlaschelli
Phys. Rev. E 81, 046104 – Published 9 April 2010

Abstract

We study the topological properties of the multinetwork of commodity-specific trade relations among world countries over the 1992–2003 period, comparing them with those of the aggregate-trade network, known in the literature as the international-trade network (ITN). We show that link-weight distributions of commodity-specific networks are extremely heterogeneous and (quasi) log normality of aggregate link-weight distribution is generated as a sheer outcome of aggregation. Commodity-specific networks also display average connectivity, clustering, and centrality levels very different from their aggregate counterpart. We also find that ITN complete connectivity is mainly achieved through the presence of many weak links that keep commodity-specific networks together and that the correlation structure existing between topological statistics within each single network is fairly robust and mimics that of the aggregate network. Finally, we employ cross-commodity correlations between link weights to build hierarchies of commodities. Our results suggest that on the top of a relatively time-invariant “intrinsic” taxonomy (based on inherent between-commodity similarities), the roles played by different commodities in the ITN have become more and more dissimilar, possibly as the result of an increased trade specialization. Our approach is general and can be used to characterize any multinetwork emerging as a nontrivial aggregation of several interdependent layers.

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  • Received 6 October 2009

DOI:https://doi.org/10.1103/PhysRevE.81.046104

©2010 American Physical Society

Authors & Affiliations

Matteo Barigozzi1,*, Giorgio Fagiolo2,†, and Diego Garlaschelli2,3,‡

  • 1ECARES–Université libre de Bruxelles, 50 Avenue F. D. Roosevelt, CP 114, 1050 Brussels, Belgium
  • 2Sant’Anna School of Advanced Studies, Laboratory of Economics and Management, Piazza Martiri della Libertà 33, I-56127 Pisa, Italy
  • 3CABDyN Complexity Centre, Said Business School, University of Oxford, Park End Street, OX1 1HP Oxford, United Kingdom

  • *matteo.barigozzi@ulb.ac.be
  • FAX: +39-050-883343; giorgio.fagiolo@sssup.it
  • garlaschelli@unisi.it

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Vol. 81, Iss. 4 — April 2010

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