Randomizing world trade. II. A weighted network analysis

Tiziano Squartini, Giorgio Fagiolo, and Diego Garlaschelli
Phys. Rev. E 84, 046118 – Published 31 October 2011

Abstract

Based on the misleading expectation that weighted network properties always offer a more complete description than purely topological ones, current economic models of the International Trade Network (ITN) generally aim at explaining local weighted properties, not local binary ones. Here we complement our analysis of the binary projections of the ITN by considering its weighted representations. We show that, unlike the binary case, all possible weighted representations of the ITN (directed and undirected, aggregated and disaggregated) cannot be traced back to local country-specific properties, which are therefore of limited informativeness. Our two papers show that traditional macroeconomic approaches systematically fail to capture the key properties of the ITN. In the binary case, they do not focus on the degree sequence and hence cannot characterize or replicate higher-order properties. In the weighted case, they generally focus on the strength sequence, but the knowledge of the latter is not enough in order to understand or reproduce indirect effects.

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  • Received 27 April 2011

DOI:https://doi.org/10.1103/PhysRevE.84.046118

©2011 American Physical Society

Authors & Affiliations

Tiziano Squartini

  • CSC and Department of Physics, University of Siena, Via Roma 56, 53100 Siena, Italy, and Lorentz Institute for Theoretical Physics, Leiden Institute of Physics, University of Leiden, Niels Bohrweg 2, NL-2333 CA Leiden, The Netherlands

Giorgio Fagiolo

  • LEM, Sant’Anna School of Advanced Studies, 56127 Pisa, Italy

Diego Garlaschelli

  • Lorentz Institute for Theoretical Physics, Leiden Institute of Physics, University of Leiden, Niels Bohrweg 2, NL-2333 CA Leiden, The Netherlands

See Also

Randomizing world trade. I. A binary network analysis

Tiziano Squartini, Giorgio Fagiolo, and Diego Garlaschelli
Phys. Rev. E 84, 046117 (2011)

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Vol. 84, Iss. 4 — October 2011

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