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The rise of China in the international trade network: A community core detection approach

The rise of China in the international trade network: A community core detection approach

Zhu, Zhen ORCID: 0000-0003-0258-1454, Cerina, Federica, Chessa, Alessandro, Caldarelli, Guido and Riccaboni, Massimo (2014) The rise of China in the international trade network: A community core detection approach. PLoS ONE, 9 (8):e105496. ISSN 1932-6203 (Online) (doi:https://doi.org/10.1371/journal.pone.0105496)

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Abstract

Theory of complex networks proved successful in the description of a variety of complex systems ranging from biology to computer science and to economics and finance. Here we use network models to describe the evolution of a particular economic system, namely the International Trade Network (ITN). Previous studies often assume that globalization and regionalization in international trade are contradictory to each other. We re-examine the relationship between globalization and regionalization by viewing the international trade system as an interdependent complex network. We use the modularity optimization method to detect communities and community cores in the ITN during the years 1995–2011. We find rich dynamics over time both inter- and intra-communities. In particular, the Asia-Oceania community disappeared and reemerged over time along with a switch in leadership from Japan to China. We provide a multilevel description of the evolution of the network where the global dynamics (i.e., communities disappear or reemerge) and the regional dynamics (i.e., community core changes between community members) are related. Moreover, simulation results show that the global dynamics can be generated by a simple dynamic-edge-weight mechanism.

Item Type: Article
Additional Information: Copyright: © 2014 Zhu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Uncontrolled Keywords: international trade; networks; community detection; China
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Faculty of Business > Department of International Business & Economics
Last Modified: 16 May 2019 15:48
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 5
URI: http://gala.gre.ac.uk/id/eprint/18547

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