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Data Science and Complex NetworksReal Case Studies with Python$
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Guido Caldarelli and Alessandro Chessa

Print publication date: 2016

Print ISBN-13: 9780199639601

Published to Oxford Scholarship Online: December 2016

DOI: 10.1093/acprof:oso/9780199639601.001.0001

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International Trade Networks and World Trade Web

International Trade Networks and World Trade Web

Chapter:
(p.26) 2 International Trade Networks and World Trade Web
Source:
Data Science and Complex Networks
Author(s):

Guido Caldarelli

Alessandro Chessa

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199639601.003.0003

Trade is another system that can be described by means of a network, defining the vertices as the different countries and the directed edges as the trade exchange in a specific year. The set of commercial transactions between different countries (import and export of the various goods) is recorded and many cured datasets are available. In this chapter we will use the COMTRADE dataset which is openly accessible as a United Nations service from its Statistical Division. Starting from this dataset the World Trade Web is built up and some network measures are computed, such as the reciprocity in the imports/exports between two countries and the assortativity. From the product/country connections a bipartite network is constructed and Balassa’s “revealed comparative advantage” is defined.

Keywords:   trade, COMTRADE, reciprocity, assortativity, bipartite network, Balassa’s RCA

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