Articles | Volume 20, issue 10
https://doi.org/10.5194/hess-20-4223-2016
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, Rabi H. Mohtar, Jin-Yong Choi, and Seung-Hwan Yoo

Viewed

Total article views: 2,461 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,424 936 101 2,461 450 82 83
  • HTML: 1,424
  • PDF: 936
  • XML: 101
  • Total: 2,461
  • Supplement: 450
  • BibTeX: 82
  • EndNote: 83
Views and downloads (calculated since 23 May 2016)
Cumulative views and downloads (calculated since 23 May 2016)

Cited

Latest update: 27 Mar 2024
Download
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.