A stochastic generative model of the World Trade Network

The World Trade Network (WTN) is a network of exchange flows among countries whose topological and statistical properties are a valuable source of information. Degree and strength (weighted degree) are key magnitudes to understand its structure and generative mechanisms. In this work, we describe a...

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Bibliographic Details
Published in:Scientific reports 2019-12, Vol.9 (1), p.18539-10, Article 18539
Main Authors: García-Algarra, Javier, Mouronte-López, Mary Luz, Galeano, Javier
Format: Article
Language:English
Subjects:
639/705/1041
639/766/530/2801
Exports
Humanities and Social Sciences
Hypotheses
International trade
multidisciplinary
Normal distribution
Science
Science (multidisciplinary)
Stochastic models
Stochasticity
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Summary:The World Trade Network (WTN) is a network of exchange flows among countries whose topological and statistical properties are a valuable source of information. Degree and strength (weighted degree) are key magnitudes to understand its structure and generative mechanisms. In this work, we describe a stochastic model that yields synthetic networks that closely mimic the properties of annual empirical data. The model combines two popular mechanisms of network generation: preferential attachment and multiplicative process. Agreement between empirical and synthetic networks is checked using the available series from 1962 to 2017.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-019-54979-1