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.

44 pages, 39 eps figures

References in corpus (8)

• Clustering in Complex Directed Networks
• The Rich-Club Phenomenon In The Internet Topology
• On the Topological Properties of the World Trade Web: A Weighted Network Analysis
• The International Trade Network: weighted network analysis and modelling
• Patterns of dominant flows in the world trade web
• Interplay between topology and dynamics in the World Trade Web
• Rich-club vs rich-multipolarization phenomena in weighted networks
• Empirical study on clique-degree distribution of networks