Servedio Vito D P, Buttà Paolo, Mazzilli Dario, Tacchella Andrea, Pietronero Luciano
Complexity Science Hub Vienna, Josefstätter-Strasse 39, A-1080 Vienna, Austria.
Department of Mathematics, Sapienza University of Rome, P.le Aldo Moro 5, 00185 Roma, Italy.
Entropy (Basel). 2018 Oct 12;20(10):783. doi: 10.3390/e20100783.
We present a new metric estimating fitness of countries and complexity of products by exploiting a non-linear non-homogeneous map applied to the publicly available information on the goods exported by a country. The non homogeneous terms guarantee both convergence and stability. After a suitable rescaling of the relevant quantities, the non homogeneous terms are eventually set to zero so that this new metric is parameter free. This new map almost reproduces the results of the original homogeneous metrics already defined in literature and allows for an approximate analytic solution in case of actual binarized matrices based on the Revealed Comparative Advantage (RCA) indicator. This solution is connected with a new quantity describing the neighborhood of nodes in bipartite graphs, representing in this work the relations between countries and exported products. Moreover, we define the new indicator of country quantifying how a country efficiently invests in capabilities able to generate innovative complex high quality products. Eventually, we demonstrate analytically the local convergence of the algorithm involved.
我们提出了一种新的度量标准,通过利用应用于一个国家出口商品公开可用信息的非线性非齐次映射来估计国家的适应性和产品的复杂性。非齐次项保证了收敛性和稳定性。在对相关量进行适当的重新缩放后,非齐次项最终被设置为零,从而使这个新的度量标准无参数。这个新的映射几乎重现了文献中已经定义的原始齐次度量标准的结果,并且在基于显示性比较优势(RCA)指标的实际二值化矩阵的情况下允许近似解析解。这个解与描述二分图中节点邻域的一个新量相关,在这项工作中二分图表示国家和出口产品之间的关系。此外,我们定义了国家的新指标,用于量化一个国家如何有效地投资于能够生产创新型复杂高质量产品的能力。最终,我们通过分析证明了所涉及算法的局部收敛性。