TY  - RPRT
Y1  - 2014/04//
A1  - Zhu, Zhen
A1  - Cerina, Federica
A1  - Chessa, Alessandro
A1  - Caldarelli, Guido
A1  - Riccaboni, Massimo
PB  - IMT Institute for Advanced Studies Lucca
EP  - 20
UR  - http://eprints.imtlucca.it/2192/
N2  - Theory of complex networks proved successful in the description of a variety of static networks ranging from biology to computer and social sciences 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. Most importantly, we have a multilevel description of the
evolution where the global dynamics (i.e., communities disappear or reemerge) tend to be correlated with the regional dynamics (i.e., community core changes between
community members). In particular, the Asia-Oceania community disappeared and reemerged over time along with a switch in leadership from Japan to China. Moreover,
simulation results show that the global dynamics can be generated by a preferential attachment mechanism both inter- and intra- communities. 
KW  - Keywords: Complex Networks
KW  -  International Trade
KW  -  Community Detection.     JEL Codes: F10
KW  -  F15
M1  - imt_eic_working_paper
AV  - public
TI  - The rise of China in the international trade network: a community core detection approach
ID  - eprints2192
ER  -