Measuring the relative intensity of collaboration within a network

Joel Emanuel Fuchs (), Gunnar Sivertsen () and Ronald Rousseau ()
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Joel Emanuel Fuchs: University of Wuppertal
Gunnar Sivertsen: Nordic Institute for Studies in Innovation, Research and Education
Ronald Rousseau: University of Antwerp

Scientometrics, 2021, vol. 126, issue 10, No 21, 8673-8682

Abstract: Abstract In research fields like informetrics or patent research, international comparisons are part of their core business. One class of measures used in such comparisons consists of affinity indices. Here, relations of shares are calculated to express the relation between two actors X and Y. Even though this group of affinity indices already has many members, we think that based on pure logic, they still miss the point. For this reason, we introduce the RIC index. This index compares two shares: the share of actor Y within a given set X to the share of Y within the complement of X. After motivating and introducing this new index, we show some of its basic characteristics, the most interesting one being that increased collaboration between two countries leads to an increase in the value of RIC. Moreover, this index is asymmetric. The RIC index is illustrated with the examples of China and the USA within the global network of collaboration 2000–2020.

Keywords: International collaboration; Activity index; Probabilistic affinity index; Citation index; Relative intensity of collaboration; RIC (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s11192-021-04110-x

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