Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 20, issue 10
Articles | Volume 20, issue 10
https://doi.org/10.5194/hess-20-4223-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-4223-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 20, issue 10
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, Rabi H. Mohtar, Jin-Yong Choi, and Seung-Hwan Yoo

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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.
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