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Bilateral Co-authorship Indicators Based on Fractional Counting Cover

Bilateral Co-authorship Indicators Based on Fractional Counting

Journal of Data and Information Science
Volume 6 (2021): Issue 1 (February 2021)
By: Ronald Rousseau and  Lin Zhang  
Open Access
|Oct 2020

Authors

Ronald Rousseau

University of Antwerp, Faculty of Social Sciences, Antwerpen, Belgium
Centre for R&D Monitoring (ECOOM) and Dept. MSI, KU Leuven, Leuven, Belgium

Lin Zhang

linzhang1117@whu.edu.cn

Centre for R&D Monitoring (ECOOM) and Dept. MSI, KU Leuven, Leuven, Belgium
School of Information Management, Wuhan University, Wuhan, China
DOI: https://doi.org/10.2478/jdis-2021-0005 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 1 - 12
Submitted on: Aug 7, 2020
Accepted on: Oct 10, 2020
Published on: Oct 23, 2020
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Collaboration,
Country studies,
Fractional counting,
Harmonic mean,
Co-authorship intensity
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2020 Ronald Rousseau, Lin Zhang, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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