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On the convergence of the Fitness-Complexity Algorithm

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  • Emanuele Pugliese
  • Andrea Zaccaria
  • Luciano Pietronero

Abstract

We investigate the convergence properties of an algorithm which has been recently proposed to measure the competitiveness of countries and the quality of their exported products. These quantities are called respectively Fitness F and Complexity Q. The algorithm was originally based on the adjacency matrix M of the bipartite network connecting countries with the products they export, but can be applied to any bipartite network. The structure of the adjacency matrix turns to be essential to determine which countries and products converge to non zero values of F and Q. Also the speed of convergence to zero depends on the matrix structure. A major role is played by the shape of the ordered matrix and, in particular, only those matrices whose diagonal does not cross the empty part are guaranteed to have non zero values as outputs when the algorithm reaches the fixed point. We prove this result analytically for simplified structures of the matrix, and numerically for real cases. Finally, we propose some practical indications to take into account our results when the algorithm is applied.

Suggested Citation

  • Emanuele Pugliese & Andrea Zaccaria & Luciano Pietronero, 2014. "On the convergence of the Fitness-Complexity Algorithm," Papers 1410.0249, arXiv.org, revised Dec 2014.
  • Handle: RePEc:arx:papers:1410.0249
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    References listed on IDEAS

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    1. Gaulier, Guillaume & Zignago, Soledad, 2004. "Notes on BACI (analytical database of international trade). 1989-2002 version," MPRA Paper 32401, University Library of Munich, Germany.
    2. Robert C. Feenstra & Robert E. Lipsey & Haiyan Deng & Alyson C. Ma & Hengyong Mo, 2005. "World Trade Flows: 1962-2000," NBER Working Papers 11040, National Bureau of Economic Research, Inc.
    3. Cesar A. Hidalgo & Ricardo Hausmann, 2009. "The Building Blocks of Economic Complexity," Papers 0909.3890, arXiv.org.
    4. 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.
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    Cited by:

    1. Orazio Angelini & Matthieu Cristelli & Andrea Zaccaria & Luciano Pietronero, 2016. "The complex dynamics of products and its asymptotic properties," Papers 1610.00274, arXiv.org, revised May 2017.
    2. Cristelli, Matthieu & Tacchella, Andrea & Zaccaria, Andrea & Pietronero, Luciano, 2014. "Growth scenarios for sub-Saharan countries in the framework of economic complexity," MPRA Paper 71594, University Library of Munich, Germany.
    3. Fabio Saracco & Riccardo Di Clemente & Andrea Gabrielli & Luciano Pietronero, 2015. "From Innovation to Diversification: A Simple Competitive Model," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-19, November.
    4. Angelica Sbardella & Emanuele Pugliese & Luciano Pietronero, 2016. "Economic Development and Inequality: a complex system analysis," Papers 1605.03133, arXiv.org.
    5. Abhijit Chakraborty & Hiroyasu Inoue & Yoshi Fujiwara, 2020. "Economic complexity of prefectures in Japan," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-13, August.
    6. 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.
    7. Angelica Sbardella & Emanuele Pugliese & Luciano Pietronero, 2017. "Economic development and wage inequality: A complex system analysis," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-26, September.
    8. Mika J. Straka & Guido Caldarelli & Tiziano Squartini & Fabio Saracco, 2017. "From Ecology to Finance (and Back?): Recent Advancements in the Analysis of Bipartite Networks," Papers 1710.10143, arXiv.org.

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