Abstract
We study the community structure of the multi-network of commodity-specific and aggregate trade relations among world countries over the 1992-2003 period. We compare structures across products and time by means of the normalized mutual information index (NMI). We also compare them with exogenous community structures induced by geographical distances and regional trade agreements. We find that: (i) plastics and mineral fuels —and in general commodities belonging to the chemical sector— have the highest similarity with aggregate trade communities; (ii) both at aggregated and disaggregated levels, physical variables such as geographical distance are more correlated with the observed trade fluxes than regional-trade agreements.
The Authors would like to thank four anonymous referees for their useful and insightful comments. All usual disclaimers apply.
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Barigozzi, M., Fagiolo, G., Mangioni, G. (2011). Community Structure in the Multi-network of International Trade. In: da F. Costa, L., Evsukoff, A., Mangioni, G., Menezes, R. (eds) Complex Networks. Communications in Computer and Information Science, vol 116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25501-4_17
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DOI: https://doi.org/10.1007/978-3-642-25501-4_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25500-7
Online ISBN: 978-3-642-25501-4
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Keywords
- Community Structure
- Geographical Distance
- World Trade Organization
- Community Detection
- Normalise Mutual Information
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.