Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators

doi:10.2478/jdis-2022-0021

Journal of Data and Information Science ›› 2022, Vol. 7 ›› Issue (4): 5-15.doi: 10.2478/jdis-2022-0021

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Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators

Joel Emanuel Fuchs¹, Lawrence Smolinsky², Ronald Rousseau³^,⁴^,^†()

¹University of Wuppertal, Gaußstr. 20, D-42119 Wuppertal, Germany
²Louisiana State University, Department of Mathematics, Baton Rouge, Los Angeles, USA
³University of Antwerp, Faculty of Social Sciences, Middelheimlaan 1, B-2020 Antwerp, Belgium
⁴KU Leuven, Facultair Onderzoekscentrum ECOOM, Naamsestraat 61, B-3000 Leuven, Belgium

Received:2022-07-30 Revised:2022-09-27 Accepted:2022-09-27 Published:2022-11-11
Contact: Ronald Rousseau E-mail:ronald.rousseau@kuleuven.be

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.

Key words: Contingency tables, Confidence intervals, Relative intensity of collaboration (RIC), Mantel-Haenszel statistics, Science of science

Joel Emanuel Fuchs , Lawrence Smolinsky , and Ronald Rousseau .(2022). Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators. Journal of Data and Information Science, 7(4), 5-15. DOI: 10.2478/jdis-2022-0021

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Figures/Tables 4

References 15

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e does possess attribute X	Number of elements possessing X and Y	Number of elements possessing X but not Y	Number of elements possessing X
e does not possess attribute X	Number of elements possessing Y but not X	Number of elements possessing neither X nor Y	Number of elements not possessing X
column sums	Number of elements possessing Y	Number of elements not possessing Y	Number of elements

	(Co-)author from Y	No (co-)author from Y	row sums
(Co-)author from X	C_XY	C_X - C_XY	C_X
No (co-)author from X	C_Y - C_XY	T - C_X- C_Y + C_XY	T - C_X
column sums	C_Y	T - C_Y	T

Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators

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