Measuring cognitive distance between publication portfolios

Rousseau, Ronald, Guns, Raf, Rahman, A I M Jakaria and Engels, Tim C.E. Measuring cognitive distance between publication portfolios., 2017 [Preprint]

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English abstract

We study the problem of determining the cognitive distance between the publication portfolios of two units. In this article we provide a systematic overview of five different methods (a benchmark Euclidean distance approach, distance between barycenters in two and in three dimensions, distance between similarity-adapted publication vectors, and weighted cosine similarity) to determine cognitive distances using publication records. We present a theoretical comparison as well as a small empirical case study. Results of this case study are not conclusive, but we have, mainly on logical grounds, a small preference for the method based on similarity-adapted publication vectors.

Item type: Preprint
Keywords: cognitive distances; barycenters; similarity matrices; similarity-adapted publication vectors; weighted cosine similarity; bootstrapping; research expertise
Subjects: B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: A. I. M. Jakaria Rahman
Date deposited: 05 Mar 2018 11:15
Last modified: 05 Mar 2018 11:15
URI: http://hdl.handle.net/10760/32399

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