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

Lee, Sang-Hyun; Mohtar, Rabi H.; Choi, Jin-Yong; Yoo, Seung-Hwan

doi:https://doi.org/10.5194/hess-20-4223-2016

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

Download

Final revised paper (published on 18 Oct 2016)
Supplement to the final revised paper
Preprint (discussion started on 23 May 2016)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'Review', Anonymous Referee #1, 19 Jun 2016
- AC1: 'Revised paper and revision note for reviewer #1', Sang-Hyun Lee, 08 Aug 2016
RC2: 'Review', Anonymous Referee #2, 02 Jul 2016
- AC2: 'Revised paper and revision note for reviewer #2', Sang-Hyun Lee, 08 Aug 2016

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

AR by Sanghyun Lee on behalf of the Authors (20 Sep 2016) Manuscript

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.