Journal article

A comparative analysis of the predictive abilities of economic complexity metrics using international trade network

  • Liao, Hao National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, China
  • Vidmer, Alexandre National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, China - Department of Physics, University of Fribourg, Switzerland
    13.02.2018
Published in:
  • Complexity. - 2018
English The complex networks approach has proven to be an effective tool to understand and predict the evolution of a wide range of complex systems. In this work, we consider the network representing the exchange of goods between countries: the international trade network. According to the type of goods they export, the complex networks approach allows inferring which countries will have a bigger growth compared to others. The aim of this work is to study three different methods characterizing the complex networks and study their behaviour on two main topics. Can the method predict the economic evolution of a country? What happens to those methods when we merge the economies?
Faculty
Faculté des sciences et de médecine
Department
Département de Physique
Language
  • English
Classification
Physics
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/306747
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