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Topological Properties of the International Trade Network Using Modified Measures

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  • Yener Kandogan

Abstract

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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  • Yener Kandogan, 2018. "Topological Properties of the International Trade Network Using Modified Measures," The International Trade Journal, Taylor & Francis Journals, vol. 32(3), pages 268-292, May.
    • Handle: RePEc:taf:uitjxx:v:32:y:2018:i:3:p:268-292
    DOI: 10.1080/08853908.2017.1322547
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    Cited by:

    1. Yeong-Hyeon Choi & Seong Eun Kim & Kyu-Hye Lee, 2021. "Faux Fur Trade Networks Using Macroscopic Data: A Social Network Approach," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    2. Suhua Ou & Qingshan Yang & Jian Liu, 2024. "The global production pattern of the semiconductor industry: an empirical research based on trade network," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.

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