Evolution of community structure in the world trade web
arXiv:0709.2630 · doi:10.1140/epjb/e2008-00181-2
Abstract
In this note we study the bilateral merchandise trade flows between 186 countries over the 1948-2005 period using data from the International Monetary Fund. We use Pajek to identify network structure and behavior across thresholds and over time. In particular, we focus on the evolution of trade "islands" in the a world trade network in which countries are linked with directed edges weighted according to fraction of total dollars sent from one country to another. We find mixed evidence for globalization.
To be submitted to APFA 6 Proceedings, 8 pages, 3 Figures
References in corpus (8)
- Statistical mechanics of complex networks
- The structure and function of complex networks
- Topology of the World Trade Web
- Fitness-dependent topological properties of the World Trade Web
- Patterns of dominant flows in the world trade web
- Systematic analysis of group identification in stock markets
- Clusters or networks of economies? A macroeconomy study through GDP fluctuation correlations
- Spectral and network methods in the analysis of correlation matrices of stock returns
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