Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4968053 | Journal of Informetrics | 2017 | 12 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Ronald Rousseau, Raf Guns, A.I.M. Jakaria Rahman, Tim C.E. Engels,