Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/89345
Authors: 
Fagiolo, Giorgio
Reyes, Javier
Schiavo, Stefano
Year of Publication: 
2008
Series/Report no.: 
LEM Working Paper Series 2008/16
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.
Subjects: 
Weighted Networks
World Trade Web
Distribution Dynamics
Power Laws
Econophysics
Document Type: 
Working Paper

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