Big Data

Statistical Mechanics Of The International Trade Network

Date Added: Apr 2011
Format: PDF

Analyzing real data on international trade covering the time interval 1950-2000, the authors show that in each year over the analyzed period the network is a typical representative of the ensemble of maximally random weighted networks, who's directed connections (bilateral trade volumes) are only characterized by the product of the trading countries' GDPs. It means that time evolution of this network may be considered as a continuous sequence of equilibrium states, i.e. quasi-static process. This, in turn, allows one to apply the linear response theory to make (and also verify) simple predictions about the network.