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Optimal diversification strategies in the networks of related products and of related research areas

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  • Aamena Alshamsi

    (Massachusetts Institute of Technology
    Khalifa University of Science and Technology)

  • Flávio L. Pinheiro

    (Massachusetts Institute of Technology)

  • Cesar A. Hidalgo

    (Massachusetts Institute of Technology)

Abstract

Countries and cities are likely to enter economic activities that are related to those that are already present in them. Yet, while these path dependencies are universally acknowledged, we lack an understanding of the diversification strategies that can optimally balance the development of related and unrelated activities. Here, we develop algorithms to identify the activities that are optimal to target at each time step. We find that the strategies that minimize the total time needed to diversify an economy target highly connected activities during a narrow and specific time window. We compare the strategies suggested by our model with the strategies followed by countries in the diversification of their exports and research activities, finding that countries follow strategies that are close to the ones suggested by the model. These findings add to our understanding of economic diversification and also to our general understanding of diffusion in networks.

Suggested Citation

  • Aamena Alshamsi & Flávio L. Pinheiro & Cesar A. Hidalgo, 2018. "Optimal diversification strategies in the networks of related products and of related research areas," Nature Communications, Nature, vol. 9(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03740-9
    DOI: 10.1038/s41467-018-03740-9
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