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Multiplex Dynamics on the World Trade Web

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Complex Networks & Their Applications VI (COMPLEX NETWORKS 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 689))

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Abstract

The network of international trade, where countries are represented with nodes and trade relations are represented by directed, weighted edges is an important economic model. In this paper, we consider a multiplex version of this system, wherein nations are connected by multiple edges, representing different commodities, based on a new approach for multilayer network models. The central idea behind this method is to use a network dynamics interpretation of the commodity flows to construct a single operator representing the entire system. This allows us to study the global structure of the trade network as a single object instead of as a disjoint collection of layers. We analyze centralities and communities determined by this model and show that studying the multiplex as a whole allows us to uncover structure not evident in the individual layers or the aggregate network.

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Acknowledgments

The author would like to thank Dan Rockmore, Scott Pauls, and Tommy Khoo for helpful discussions and advice.

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Authors and Affiliations

  1. Department of Mathematics Dartmouth College, Hanover, NH, 03755, USA

    Daryl R. DeFord

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  1. Daryl R. DeFord
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Correspondence to Daryl R. DeFord .

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Editors and Affiliations

  1. University of Lyon 2, Lyon, France

    Chantal Cherifi

  2. University of Burgundy, Dijon, France

    Hocine Cherifi

  3. École Normale Supérieure de Lyon, Lyon, France

    Márton Karsai

  4. University College London, London, United Kingdom

    Mirco Musolesi

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DeFord, D.R. (2018). Multiplex Dynamics on the World Trade Web. In: Cherifi, C., Cherifi, H., Karsai, M., Musolesi, M. (eds) Complex Networks & Their Applications VI. COMPLEX NETWORKS 2017. Studies in Computational Intelligence, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-72150-7_90

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  • DOI: https://doi.org/10.1007/978-3-319-72150-7_90

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72149-1

  • Online ISBN: 978-3-319-72150-7

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