Articles | Volume 2, issue 1
https://doi.org/10.5194/gc-2-55-2019
https://doi.org/10.5194/gc-2-55-2019
Research article
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20 Feb 2019
Research article | Highlight paper |  | 20 Feb 2019

Identifying and improving AGU collaborations using network analysis and scientometrics

Tom Narock, Sarah Hasnain, and Ronie Stephan

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (04 Jan 2019) by Hazel Gibson
AR by Tom Narock on behalf of the Authors (09 Jan 2019)
ED: Publish as is (01 Feb 2019) by Hazel Gibson
ED: Publish as is (01 Feb 2019) by Sam Illingworth (Executive editor)
AR by Tom Narock on behalf of the Authors (08 Feb 2019)
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Short summary
The American Geophysical Union (AGU) is an Earth and space science professional society. Research conducted by AGU members ranges from the Earth’s deep interior to the outer planets of our solar system. However, little research exists on the AGU meeting itself. We apply network analysis and scientometrics to 17 years of AGU Fall Meetings to examine the network structure of the AGU and explore how data science can facilitate better scientific communication and collaboration.
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