The World Trade Web: Evolution of International Trade and Globalization from 2000 to 2013

Dimitri Robert, Olivier Van Tongerloo, Thomas Crispeels, Wouter Verbeke

Research output: Chapter in Book/Report/Conference proceedingMeeting abstract (Book)Research


This study uses social network analysis to investigate the evolution of international trade and the globalization of the economy over the period 2000-2013. We employ a directed and weighted approach to build and analyze the world trade web using the UN Comtrade’s exportation data between all countries. Since visualization of such large networks is not very representative nor useful, our framework looks in detail at centrality measures on a global as well as a local level. Globally, we look mainly at the degree (also its subparts in- and outdegree) and its weighted version, the (in/out) strength. The betweenness and closeness are also analyzed, but mainly for comparison with the local levels. For these local levels, we chose to analyze the centrality measures on the second order neighborhood. This choice is based on the network variables calculated on the global level. This will allow us to find out which countries are used most in trade routes. These are not the same countries as the ones on a global level. On a final note, we analyze the network and behavior dynamics in order to calculate how the network evolves in general and how it evolves based on different criteria (same language, continent etc.).
Original languageEnglish
Title of host publicationEURO 2016: 28th European Conference on Operational Research
PublisherEuro: The Association of European Operational Research Societies
Number of pages1
Publication statusPublished - Jul 2016
EventEURO 2016: 28th European Conference on Operational Research - Poznan, Poland
Duration: 3 Jul 20166 Jul 2016


ConferenceEURO 2016
Abbreviated titleEURO 2016
Internet address


Dive into the research topics of 'The World Trade Web: Evolution of International Trade and Globalization from 2000 to 2013'. Together they form a unique fingerprint.

Cite this