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 ...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.展开更多
In this paper, the relationship between Riemann-Liouville fractional integral and the box-counting dimension of graphs of fractal functions is discussed.
基金supported by the National Natural Science Foundation of China (Grant No. 7197415071573085)+1 种基金the National Social Science Foundation of China (18VSJ087)the National Laboratory Center for Library and Information Science in Wuhan University。
文摘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.
文摘In this paper, the relationship between Riemann-Liouville fractional integral and the box-counting dimension of graphs of fractal functions is discussed.
