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

Giorgio Fagiolo (giorgio.fagiolo@santannapisa.it), Javier Reyes and Stefano Schiavo

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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.

Keywords: Weighted Networks; World Trade Web; Distribution Dynamics; Power Laws; Econophysics (search for similar items in EconPapers)
Date: 2008-07
Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-01066180
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Citations: View citations in EconPapers (3)

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Working Paper: The World-Trade Web: Topological Properties, Dynamics, and Evolution (2008)
Working Paper: The World-Trade Web: Topological Properties, Dynamics, and Evolution (2008)
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