Niroo Research Institute Journal of Energy and Economic Development 2821-2061 1 2 2022 09 28 A Survey of the Global Electricity Trade Network Structure 1 15 162321 10.30503/jeedev.2022.360245.1017 EN Leila Mirtajadini PhD, Department of Economics, Social Sciences and Economics Faculty, Alzahra University, Tehran, Iran Shamsollah Shirin Bakhsh Associate professor, Department of Economics, Social Sciences and Economics Faculty, Alzahra University,Tehran, Iran Mir Hossein Mousavi Associate professor, Department of Economics, Social Sciences and Economics Faculty, Alzahra University, Tehran, Iran Journal Article 2022 09 02 This study tries to analyse the global electricity trade network by considering nations as nodes and trade among them as links. The data were derived from electricity export and import time series for the period 2010-2018. Network Theory is the basic approach to analyse the relationship between different countries. There are some metrics to scrutinize the global electricity trade network structure; namely node degree, betweenness centrality, cluster coefficient, dominating sets, and link prediction. Also, community detection helps us understand the position of each country in its sub-network. This analysis examines the main players in the electricity trade market. Dominating sets identify a group of nodes that play an active part in facilitating trade. As a result of link prediction analysis, it is very easy to identify missing links in the network. It is a very innovative method of estimating possible links among nodes and predicting the future of trade relations. https://jeedev.nri.ac.ir/article_162321_f11a819f9558721976117ba36d093042.pdf