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Bilateral Co-authorship Indicators Based on Fractional Counting

Authors :
Lin Zhang
Ronald Rousseau
Source :
Journal of Data and Information Science
Publication Year :
2020
Publisher :
Walter de Gruyter GmbH, 2020.

Abstract

Purpose In this contribution we provide two new co-authorship indicators based on fractional counting. Design/methodology/approach Based on the idea of fractional counting we reflect on what should be an acceptable indicator for co-authorship between two entities. From this reflection we propose an indicator, the co-authorship score, denoted as cs, using the harmonic mean. Dividing this new indicator by the classical co-authorship indicator based on full counting, leads to a co-authorship intensity indicator. Findings We show that the indicators we propose have many necessary or at least highly desirable properties for a proper cs-score. It is pointed out that the two new indicators can be used for countries, but also for institutions and other pairs of entities. A small example shows the feasibility of the co-authorship score and the co-authorship intensity indicator. Research limitations The indicators are not yet tested in real cases. Practical implications As the notions of co-authorship and collaboration have many aspects, we think that our contribution may help policy management to take yet another aspect into account as part of a multi-faceted description of research outcomes. Originality/value The indicators we propose cover yet another aspect of co-authorship.

Details

ISSN :
2543683X and 2096157X
Volume :
6
Database :
OpenAIRE
Journal :
Journal of Data and Information Science
Accession number :
edsair.doi.dedup.....2bd466bd180eddfa8c9c81b2faee32dc