Topological Properties of the International Trade Network Using Modified Measures
This article modifies several social network analysis measures to get a more accurate picture of the topology of international trade. Modifications improve estimations of actual network relationships by avoiding leaving out any trade links, considering directionality of trade, recognizing product-level networks and differences in relative importance of countries, products, and links by weighing the measures. These methods are adopted to modify measures of reciprocity, multiplexity, clustering, degree, betweenness, and closeness centrality. Changes in the trade network over the most recent dozen years are analyzed and several observations are made about trends.
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Document Type: Research Article
Affiliations: School of Management, University of Michigan-Flint, Flint, Michigan, USA
Publication date: May 27, 2018