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Global Electricity Trade Network: Structures and Implications
Author(s) -
Ling Ji,
Xiaoping Jia,
Anthony S.F. Chiu,
Ming Xu
Publication year - 2016
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0160869
Subject(s) - betweenness centrality , centrality , electricity , network analysis , international trade , global network , china , complex network , network theory , social network analysis , network science , business , economic geography , geography , computer science , telecommunications , engineering , statistics , mathematics , electrical engineering , archaeology , combinatorics , world wide web , social media
Nations increasingly trade electricity, and understanding the structure of the global power grid can help identify nations that are critical for its reliability. This study examines the global grid as a network with nations as nodes and international electricity trade as links. We analyze the structure of the global electricity trade network and find that the network consists of four sub-networks, and provide a detailed analysis of the largest network, Eurasia. Russia, China, Ukraine, and Azerbaijan have high betweenness measures in the Eurasian sub-network, indicating the degrees of centrality of the positions they hold. The analysis reveals that the Eurasian sub-network consists of seven communities based on the network structure. We find that the communities do not fully align with geographical proximity, and that the present international electricity trade in the Eurasian sub-network causes an approximately 11 million additional tons of CO 2 emissions.

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