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

Author(s)
Alshamsi, AamenaAli Ahmed Omran; Portas Pinheiro, Flavio L; Hidalgo Ramaciotti, Cesar A.
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Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/
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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.
Date issued
2018-04-06
URI
https://hdl.handle.net/1721.1/132684
Department
Massachusetts Institute of Technology. Media Laboratory; Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Alshamsi, Aamena et al. “Optimal Diversification Strategies in the Networks of Related Products and of Related Research Areas.” Nature Communications 9, 1 (December 2018): 1328.
Version: Final published version
ISSN
2041-1723

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