Randomizing world trade. II. A weighted network analysis.

@article{Squartini2011RandomizingWT,
  title={Randomizing world trade. II. A weighted network analysis.},
  author={Tiziano Squartini and Giorgio Fagiolo and Diego Garlaschelli},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2011},
  volume={84 4 Pt 2},
  pages={
          046118
        }
}
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… 
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