relation: http://eprints.imtlucca.it/2813/
title: Randomizing world trade. II. A weighted network analysis
creator: Squartini, Tiziano
creator: Fagiolo, Giorgio
creator: Garlaschelli, Diego
subject: QA Mathematics
subject: QC Physics
description: 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.
publisher: American Physical Society
date: 2011-10
type: Article
type: PeerReviewed
format: application/pdf
language: en
rights: cc_by_nc
identifier: http://eprints.imtlucca.it/2813/1/1103.1249v3.pdf
identifier:   Squartini, Tiziano and Fagiolo, Giorgio and Garlaschelli, Diego  Randomizing world trade. II. A weighted network analysis.  Physical Review E, 84.  046118.  ISSN 1539-3755      (2011)  
relation: http://link.aps.org/doi/10.1103/PhysRevE.84.046118
relation: 10.1103/PhysRevE.84.046118