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Enhancing Countries’ Fitness with Recommender Systems on the International Trade Network

Author

Listed:
  • Hao Liao
  • Xiao-Min Huang
  • Xing-Tong Wu
  • Ming-Kai Liu
  • Alexandre Vidmer
  • Ming-Yang Zhou
  • Yi-Cheng Zhang

Abstract

Prediction is one of the major challenges in complex systems. The prediction methods have shown to be effective predictors of the evolution of networks. These methods can help policy makers to solve practical problems successfully and make better strategy for the future. In this work, we focus on exporting countries’ data of the International Trade Network. A recommendation system is then used to identify the products that correspond to the production capacity of each individual country but are somehow overlooked by the country. Then, we simulate the evolution of the country’s fitness if it would have followed the recommendations. The result of this work is the combination of these two methods to provide insights to countries on how to enhance the diversification of their exported products in a scientific way and improve national competitiveness significantly, especially for developing countries.

Suggested Citation

  • Hao Liao & Xiao-Min Huang & Xing-Tong Wu & Ming-Kai Liu & Alexandre Vidmer & Ming-Yang Zhou & Yi-Cheng Zhang, 2018. "Enhancing Countries’ Fitness with Recommender Systems on the International Trade Network," Complexity, Hindawi, vol. 2018, pages 1-12, October.
    • Handle: RePEc:hin:complx:5806827
    DOI: 10.1155/2018/5806827
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    as
    1. David Garcia & Claudio Juan Tessone & Pavlin Mavrodiev & Nicolas Perony, 2014. "The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy," Papers 1408.1494, arXiv.org.
    2. Manuel Sebastian Mariani & Alexandre Vidmer & Matus Medo & Yi-Cheng Zhang, 2015. "Measuring economic complexity of countries and products: which metric to use?," Papers 1509.01482, arXiv.org.
    3. Alexandre Vidmer & An Zeng & Mat'uv{s} Medo & Yi-Cheng Zhang, 2015. "Prediction in complex systems: the case of the international trade network," Papers 1511.05404, arXiv.org.
    4. Manuel Mariani & Alexandre Vidmer & Matsúš Medo & Yi-Cheng Zhang, 2015. "Measuring economic complexity of countries and products: which metric to use?," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(11), pages 1-9, November.
    5. Gaulier, Guillaume & Zignago, Soledad, 2004. "Notes on BACI (analytical database of international trade). 1989-2002 version," MPRA Paper 32401, University Library of Munich, Germany.
    6. Assaf Almog & Tiziano Squartini & Diego Garlaschelli, 2015. "The double role of GDP in shaping the structure of the International Trade Network," Papers 1512.02454, arXiv.org, revised Dec 2015.
    7. David Garcia & Claudio Tessone & Pavlin Mavrodiev & Nicolas Perony, "undated". "The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy," Working Papers ETH-RC-14-001, ETH Zurich, Chair of Systems Design.
    8. Lü, Linyuan & Zhou, Tao, 2011. "Link prediction in complex networks: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 1150-1170.
    9. Ren, Zhuo-Ming & Shi, Yu-Qiang & Liao, Hao, 2016. "Characterizing popularity dynamics of online videos," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 236-241.
    10. An Zeng & Stanislao Gualdi & Matúš Medo & Yi-Cheng Zhang, 2013. "Trend Prediction In Temporal Bipartite Networks: The Case Of Movielens, Netflix, And Digg," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-15.
    11. Emanuele Pugliese & Guido L Chiarotti & Andrea Zaccaria & Luciano Pietronero, 2017. "Complex Economies Have a Lateral Escape from the Poverty Trap," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-18, January.
    12. Giorgio Fagiolo, 2010. "The international-trade network: gravity equations and topological properties," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(1), pages 1-25, June.
    13. Cesar A. Hidalgo & Ricardo Hausmann, 2009. "The Building Blocks of Economic Complexity," Papers 0909.3890, arXiv.org.
    14. 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.
    15. C. A. Hidalgo & B. Klinger & A. -L. Barabasi & R. Hausmann, 2007. "The Product Space Conditions the Development of Nations," Papers 0708.2090, arXiv.org.
    16. Yu, Fei & Zeng, An & Gillard, Sébastien & Medo, Matúš, 2016. "Network-based recommendation algorithms: A review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 192-208.
    17. Hao Liao & Alexandre Vidmer, 2018. "A Comparative Analysis of the Predictive Abilities of Economic Complexity Metrics Using International Trade Network," Complexity, Hindawi, vol. 2018, pages 1-12, February.
    18. David Hummels & Peter J. Klenow, 2005. "The Variety and Quality of a Nation's Exports," American Economic Review, American Economic Association, vol. 95(3), pages 704-723, June.
    19. Vidmer, Alexandre & Zeng, An & Medo, Matúš & Zhang, Yi-Cheng, 2015. "Prediction in complex systems: The case of the international trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 188-199.
    20. Tacchella, A. & Cristelli, M. & Caldarelli, G. & Gabrielli, A. & Pietronero, L., 2013. "Economic complexity: Conceptual grounding of a new metrics for global competitiveness," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1683-1691.
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