3 research outputs found
On the Topological Properties of the World Trade Web: A Weighted Network Analysis
This paper studies the topological properties of the World Trade Web (WTW)
and its evolution over time by employing a weighted network analysis. We show
that the WTW, viewed as a weighted network, displays statistical features that
are very different from those obtained by using a traditional binary-network
approach. In particular, we find that: (i) the majority of existing links are
associated to weak trade relationships; (ii) the weighted WTW is only weakly
disassortative; (iii) countries holding more intense trade relationships are
more clustered.Comment: To be submitted to APFA 6 Proceedings. 8 pages, 10 figure
The World-Trade Web: Topological Properties, Dynamics, and Evolution
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.Comment: 44 pages, 39 eps figure
The evolution of the world trade web: a weighted-network analysis
Networks, World trade web, International trade , Weighted network analysis, Integration, Globalization, F10, D85,