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The World-Trade Web: Topological Properties, Dynamics, and Evolution

Abstract : This paper studies the statistical properties of the web of import-export relationships among world countries using a weighted-network approach. We analyze how the distributions of the most important network statistics measuring connectivity, assortativity, clustering and centrality have co-evolved over time. We show that all node-statistic distributions and their correlation structure have remained surprisingly stable in the last 20 years -- and are likely to do so in the future. Conversely, the distribution of (positive) link weights is slowly moving from a log-normal density towards a power law. We also characterize the autoregressive properties of network-statistics dynamics. We find that network-statistics growth rates are well-proxied by fat-tailed densities like the Laplace or the asymmetric exponential-power. Finally, we find that all our results are reasonably robust to a few alternative, economically-meaningful, weighting schemes.
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Submitted on : Friday, September 19, 2014 - 12:15:58 PM
Last modification on : Monday, March 21, 2022 - 2:48:01 PM
Long-term archiving on: : Saturday, December 20, 2014 - 11:21:57 AM


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  • HAL Id : hal-01066180, version 1
  • SCIENCESPO : 2441/9771



Giorgio Fagiolo, Javier Reyes, Stefano Schiavo. The World-Trade Web: Topological Properties, Dynamics, and Evolution. 2008. ⟨hal-01066180⟩



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