Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators-Reference-Cited by-同舟云学术

Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators

Published:2022-10-19 Issue:4 Volume:7 Page:5-15
ISSN:2543-683X
Container-title:Journal of Data and Information Science
language:en
Short-container-title:

Author:

Fuchs Joel Emanuel¹,Smolinsky Lawrence²,Rousseau Ronald³⁴^ORCID

Affiliation:

1. University of Wuppertal , Gaußstr. 20 , Wuppertal , Germany

2. Louisiana State University , Department of Mathematics , Baton Rouge , Los Angeles , USA

3. University of Antwerp , Faculty of Social Sciences , Middelheimlaan 1 , Antwerp , Belgium

4. KU Leuven , Facultair Onderzoekscentrum ECOOM , Naamsestraat 61 , Leuven , Belgium

Abstract

Abstract Purpose We aim to extend our investigations related to the Relative Intensity of Collaboration (RIC) indicator, by constructing a confidence interval for the obtained values. Design/methodology/approach We use Mantel-Haenszel statistics as applied recently by Smolinsky, Klingenberg, and Marx. Findings We obtain confidence intervals for the RIC indicator Research limitations It is not obvious that data obtained from the Web of Science (or any other database) can be considered a random sample. Practical implications We explain how to calculate confidence intervals. Bibliometric indicators are more often than not presented as precise values instead of an approximation depending on the database and the time of measurement. Our approach presents a suggestion to solve this problem. Originality/value Our approach combines the statistics of binary categorical data and bibliometric studies of collaboration.

Publisher

Walter de Gruyter GmbH

Link

https://www.sciendo.com/pdf/10.2478/jdis-2022-0021

Reference15 articles.

1. Agresti, A. (2019). An introduction to categorical data analysis (3rd. ed.). Hoboken (NJ, USA): Wiley.

2. Bornmann, M., & Haunschild, R. (2018). Normalization of zero-inflated data: An empirical analysis of a new indicator family and its use with altmetrics data. Journal of Informetrics, 12(3), 998–1011.

3. Clarivate (2022, July 07). Web of Science. https://www.webofscience.com/wos.

4. Fuchs, J.E., & Rousseau, R. (2021). How to calculate the relative intensity of collaboration (RIC) for countries from Web of Science data. ISSI Newsletter, #67, 17(3), 24–29.

5. Fuchs, J.E., Sivertsen, G., & Rousseau, R. (2021). Measuring the relative intensity of collaboration within a network. Scientometrics, 126(10), 8673–8682.

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