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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 20, issue 10
Hydrol. Earth Syst. Sci., 20, 4223–4235, 2016
https://doi.org/10.5194/hess-20-4223-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 20, 4223–4235, 2016
https://doi.org/10.5194/hess-20-4223-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (14 Aug 2016) by Lixin Wang
AR by Sanghyun Lee on behalf of the Authors (22 Aug 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (23 Aug 2016) by Lixin Wang
RR by Anonymous Referee #1 (24 Aug 2016)
RR by Anonymous Referee #2 (18 Sep 2016)
ED: Publish as is (19 Sep 2016) by Lixin Wang
Publications Copernicus
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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.
Virtual water trade (VWT) embedded in crop trade is an important component of water management....
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