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Distance-varying assortativity and clustering of the international trade network
Network Science (2018)
  • Angela Abbate, Deutsche Bundesbank
  • Luca De Benedictis, University of Macerata
  • Giorgio Fagiolo, Sant'Anna School of Advanced Studies - Pisa
  • Lucia Tajoli, Politecnico di Milano
In this paper we study how the topology of the International Trade Network (ITN) changes in geographical space, and along time. We employ geographical distance between countries in the World to filter the links in the ITN, building a sequence of sub-networks, each one featuring trade links occurring at similar distance. We then test if the assortativity
and clustering of ITN subnetworks changes as distance increases, and we nd that this is indeed the case: distance strongly impacts, in a non-linear way, the topology of the ITN.We show that the ITN is disassortative at long distances while it is assortative at short ones. Similarly, the main determinant of the overall high ITN clustering level are triangular
trade triples between geographically close countries. This means that trade partnership choices and trade patterns are highly differentiated over different distance ranges, even after controlling for the economic size and income per capita of trading partners, and it is persistent over time. This evidence has relevant implications for the non-linear evolution
of globalization.
  • International Trade,
  • Network Analysis,
  • Distance
Publication Date
Summer June, 2018
Citation Information
Angela Abbate, Luca De Benedictis, Giorgio Fagiolo and Lucia Tajoli. "Distance-varying assortativity and clustering of the international trade network" Network Science (2018) p. 1 - 28
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