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Understanding institutional collaboration networks computer science vs. psychology

Yao, Jiadi, Carr, Les and Harnad, Stevan (2013) Understanding institutional collaboration networks computer science vs. psychology At 9th International Conference on Webometrics, Informetrics and Scientometrics (WIS) & 14th COLLNET Meeting, Estonia. 15 - 17 Aug 2013.

Record type: Conference or Workshop Item (Paper)

Abstract

Institutions assume that if they are more productive (i.e., publish more papers), they will produce more high quality research. They also assume that if they collaborate more, they will be more productive. We test these causal assumptions using nearly 30 years of worldwide publication and citation data in Computer Science and Psychology. Four quality metrics, three collaboration metrics and one productivity metric were used. Spearman’s Rank Order non-parametric correlation shows that these three groups of variables are highly inter-correlated. Regression analysis was used to partial out the effect of the third variable and reveal the independent correlation between each pair of the variables.
In Computer Science, the more productive institutions publish higher quality research as measured by citation counts (including citation counts recursively weighted by the citation counts of the citing institution); the effect is the same, but not as strong, in Psychology. Higher average paper quality in both Computer Science and Psychology are more likely to be a result of greater institutional collaboration than of higher institutional productivity. The proportion of the institutional collaboration is closely linked to institutional quality and productivity. The more proportionally collaborated institutions in fact are less qualitative as well as less productive

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More information

Published date: 15 August 2013
Venue - Dates: 9th International Conference on Webometrics, Informetrics and Scientometrics (WIS) & 14th COLLNET Meeting, Estonia, 2013-08-15 - 2013-08-17
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 358816
URI: http://eprints.soton.ac.uk/id/eprint/358816
PURE UUID: 1768ba01-67ac-497e-8f9a-ae3715b3de4a
ORCID for Les Carr: ORCID iD orcid.org/0000-0002-2113-9680

Catalogue record

Date deposited: 18 Oct 2013 09:08
Last modified: 18 Jul 2017 03:26

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Contributors

Author: Jiadi Yao
Author: Les Carr ORCID iD
Author: Stevan Harnad

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