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Dynamics and Evolution of the International Trade Network

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Complex Networks

Part of the book series: Studies in Computational Intelligence ((SCI,volume 207))

Abstract

This paper studies how the distributions of the most important network statistics measuring connectivity, assortativity, clustering and centrality in the international-trade network 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.

Thanks to two anonymous referees for their helpful comments. This work is an abridged version of the paper: Fagiolo, G., Reyes, J. and Schiavo, S. (2009), “The World-Trade Web: Topological Properties, Dynamics, and Evolution”, forthcoming in Physical Review E.

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© 2009 Springer-Verlag Berlin Heidelberg

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Fagiolo, G., Reyes, J., Schiavo, S. (2009). Dynamics and Evolution of the International Trade Network. In: Fortunato, S., Mangioni, G., Menezes, R., Nicosia, V. (eds) Complex Networks. Studies in Computational Intelligence, vol 207. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01206-8_1

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  • DOI: https://doi.org/10.1007/978-3-642-01206-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01205-1

  • Online ISBN: 978-3-642-01206-8

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