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The Topology of African Exports: emerging patterns on spanning trees

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  • Tanya Ara'ujo
  • M. Ennes Ferreira

Abstract

This paper is a contribution to interweaving two lines of research that have progressed in separate ways: network analyses of international trade and the literature on African trade and development. Gathering empirical data on African countries has important limitations and so does the space occupied by African countries in the analyses of trade networks. Here, these limitations are dealt with by the definition of two independent bipartite networks: a destination share network and\ a\ commodity share network. These networks - together with their corresponding minimal spanning trees - allow to uncover some ordering emerging from African exports in the broader context of international trade. The emerging patterns help to understand important characteristics of African exports and its binding relations to other economic, geographic and organizational concerns as the recent literature on African trade, development and growth has shown.

Suggested Citation

  • Tanya Ara'ujo & M. Ennes Ferreira, 2016. "The Topology of African Exports: emerging patterns on spanning trees," Papers 1604.03522, arXiv.org.
    • Handle: RePEc:arx:papers:1604.03522
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    References listed on IDEAS

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    Cited by:

    1. Rui Faustino, 2016. "Portuguese National Accounts: a network approach," Working Papers Department of Economics 2016/18, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    2. Araújo, Tanya & Fontainha, Elsa, 2017. "The specific shapes of gender imbalance in scientific authorships: A network approach," Journal of Informetrics, Elsevier, vol. 11(1), pages 88-102.
    3. Araújo, Tanya & Faustino, Rui, 2017. "The topology of inter-industry relations from the Portuguese national accounts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 236-248.
    4. Susana Santos & Tanya Araújo, 2018. "The network of inter-industry flows in a SAM framework," Working Papers REM 2018/40, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    5. Diego Kozlowski & Viktoriya Semeshenko & Andrea Molinari, 2021. "Latent Dirichlet allocation model for world trade analysis," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-18, February.

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