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
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13.02.2018
Published in:
- Complexity. - 2018, vol. 2018, p. 2825948
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
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- English
- Classification
- Physics
- License
- License undefined
- Identifiers
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- RERO DOC 309103
- DOI 10.1155/2018/2825948
- Persistent URL
- https://folia.unifr.ch/unifr/documents/306747
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