Articles | Volume 20, issue 10
Hydrol. Earth Syst. Sci., 20, 4223–4235, 2016
https://doi.org/10.5194/hess-20-4223-2016
Hydrol. Earth Syst. Sci., 20, 4223–4235, 2016
https://doi.org/10.5194/hess-20-4223-2016

Research article 18 Oct 2016

Research article | 18 Oct 2016

Analysis of the characteristics of the global virtual water trade network using degree and eigenvector centrality, with a focus on food and feed crops

Sang-Hyun Lee et al.

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Latest update: 27 Nov 2021
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Short summary
Virtual water trade (VWT) embedded in crop trade is an important component of water management. Vulnerable importers in VWT were classified through connectivity and volume of VWT using degree centrality of a VWT network. Influential traders on entire VWT were classified through eigenvector centrality of a VWT network.