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Rewiring World Trade. Part II: A Weighted Network Analysis

Author

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  • Tiziano Squartini
  • Giorgio Fagiolo
  • Diego Garlaschelli
Abstract
In this sequel to a companion paper, we complement our analysis of the binary projections of the International Trade Network (ITN) by considering its weighted representations. We show that, unlike the binary case, all possible weighted representations of the ITN (directed/undirected, aggregated/ disaggregated) cannot be traced back to local structural properties, which are therefore of limited informativeness. Our results highlight that any topological property representing only partial information (e.g., degree sequences) cannot in general be obtained from the corresponding weighted property (e.g., strength sequences). Therefore the expectation that weighted structural properties oer a more complete description than purely topological ones is misleading. Our analysis of the ITN detects indirect eects that are not captured by traditional macroeconomic analyses focused only on weighted rst-order country-specic properties, and highlights the limitations of models and theories that overemphasize the need to reproduce and explain such properties.

Suggested Citation

  • Tiziano Squartini & Giorgio Fagiolo & Diego Garlaschelli, 2011. "Rewiring World Trade. Part II: A Weighted Network Analysis," LEM Papers Series 2011/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    • Handle: RePEc:ssa:lemwps:2011/09
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    File URL: http://www.lem.sssup.it/WPLem/files/2011-09.pdf
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    Citations

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    Cited by:

    1. Giuditta Prato & Daniel Nepelski, 2014. "Global technological collaboration network: network analysis of international co-inventions," The Journal of Technology Transfer, Springer, vol. 39(3), pages 358-375, June.
    2. Matthieu Cristelli & Andrea Gabrielli & Andrea Tacchella & Guido Caldarelli & Luciano Pietronero, 2013. "Measuring the Intangibles: A Metrics for the Economic Complexity of Countries and Products," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-20, August.
    3. Michael Lebacher & Paul W. Thurner & Göran Kauermann, 2021. "A dynamic separable network model with actor heterogeneity: An application to global weapons transfers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 201-226, January.
    4. Leticia Blázquez & Carmen Díaz-Mora & Belén González-Díaz, 2020. "The role of services content for manufacturing competitiveness: A network analysis," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-22, January.
    5. Theodore Tsekeris, 2017. "Network analysis of inter-sectoral relationships and key sectors in the Greek economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 413-435, July.
    6. Daniel Nepelski & Giuditta de Prato, 2014. "Analysing the European ICT Poles of Excellence: Case Studies of Inner London East, Paris, Kreisfreie Stadt Darmstadt, Dublin and Byen Kobenhavn," JRC Research Reports JRC85354, Joint Research Centre.
    7. Giuditta De Prato & Daniel Nepelski, 2012. "Global R&D network. A network analysis of international R&D centres," JRC Research Reports JRC79478, Joint Research Centre, revised Nov 2012.
    8. L. Blázquez & C. Díaz-Mora & B. González-Díaz, 2023. "Slowbalisation or a “New” type of GVC participation? The role of digital services," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(1), pages 121-147, March.

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