Dynamics and Evolution of the International Trade Network

This paper studies how the distributions of the most important network statistics measuring connectivity, assortativity, clustering and centrality in the international-trade network have co-evolved over time. We show that all node statistic distributions and their correlation structure have remained surprisingly stable in the last 20 years - and are likely to do so in the future. Conversely, the distribution of (positive) link weights is slowly moving from a log-normal density towards a power law.

[1]  Mikko Kivelä,et al.  Generalizations of the clustering coefficient to weighted complex networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Douglas A. Wolfe,et al.  Nonparametric Statistical Methods , 1973 .

[3]  D. Garlaschelli,et al.  Structure and evolution of the world trade network , 2005, physics/0502066.

[4]  Steven N. Durlauf,et al.  Chapter 4 The new empirics of economic growth , 1999 .

[5]  Kai Lai Chung,et al.  Markov Chains with Stationary Transition Probabilities , 1961 .

[6]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[7]  Dan Braha,et al.  From Centrality to Temporary Fame: Dynamic Centrality in Complex Networks , 2006, Complex..

[8]  Marcel Ausloos,et al.  Clusters in weighted macroeconomic networks: the EU case. Introducing the overlapping index of GDP/capita fluctuation correlations , 2007, 0710.5447.

[9]  Sergey N. Dorogovtsev,et al.  Evolution of Networks: From Biological Nets to the Internet and WWW (Physics) , 2003 .

[10]  M. Ausloos,et al.  Clusters or networks of economies? A macroeconomy study through Gross Domestic Product , 2007 .

[11]  Marián Boguñá,et al.  Topology of the world trade web. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  Giorgio Fagiolo.  A Note on Equilibrium Selection in Polya-Urn Coordination Games , 2005 .

[13]  Marián Boguñá,et al.  Patterns of dominant flows in the world trade web , 2007, 0704.1225.

[14]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[15]  Carl A. Futia.  INVARIANT DISTRIBUTIONS AND THE LIMITING BEHAVIOR OF MARKOVIAN ECONOMIC MODELS , 1982 .

[16]  Giorgio Fagiolo,et al.  On the Topological Properties of the World Trade Web: A Weighted Network Analysis , 2007, 0708.4359.

[17]  G. Fagiolo.  Clustering in complex directed networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  J. Mi'skiewicz,et al.  G7 country Gross Domestic Product (GDP) time correlations. A graph network analysis , 2006 .

[19]  K. Gleditsch,et al.  Expanded Trade and GDP Data , 2002 .

[20]  John Scott.  Social Network Analysis , 1988 .

[21]  Mark E. J. Newman.  A measure of betweenness centrality based on random walks , 2005, Soc. Networks.

[22]  Alessandro Vespignani,et al.  Characterization and modeling of weighted networks , 2005 .

[23]  T. Aste,et al.  Interplay between topology and dynamics in the World Trade Web , 2007 .

[24]  Guanrong Chen,et al.  Complexity and synchronization of the World trade Web , 2003 .

[25]  A. Vespignani,et al.  The architecture of complex weighted networks. , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[26]  Diego Garlaschelli,et al.  Fitness-dependent topological properties of the world trade web. , 2004, Physical review letters.