Bilateral Co-authorship Indicators Based on Fractional Counting

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Abstract

In this contribution we provide two new co-authorship indicators based on fractional counting. 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. 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. The indicators are not yet tested in real cases. 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. The indicators we propose cover yet another aspect of co-authorship.

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APA

Rousseau, R., & Zhang, L. (2021). Bilateral Co-authorship Indicators Based on Fractional Counting. Journal of Data and Information Science, 6(1), 1–12. https://doi.org/10.2478/jdis-2021-0005

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