A Complex Network Perspective on Features and Evolution of World Crude Oil Trade

2016 
Abstract In this paper, a directed world crude oil trade network is constructed to learn the topological structure properties. We find the oil trade network follows power-law distribution. This is further confirmed by degree correlation coefficient, which implies the crude oil network is disassortative. The relationship of betweenness centrality value and node degree is analyzed. The result shows countries with high betweenness centrality, are also with high degree. In the whole sample time interval, the reciprocity value shows an increasing trend. A growing number of countries have expanded their bilateral trade relations. At last, some suggestions are given according to the results.
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