Measuring cognitive distance between publication portfolios
Artikel i vetenskaplig tidskrift, 2017

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

Barycenters

Similarity-adapted publication vectors

Cognitive distances

Research expertise

Similarity matrices

Weighted cosine similarity

Bootstrapping

Författare

Ronald Rousseau

KU Leuven

Universiteit Antwerpen

Raf Guns

Universiteit Antwerpen

Jakaria Rahman

Universiteit Antwerpen

Tim C. E. Engels

Universiteit Antwerpen

Journal of Informetrics

1751-1577 (ISSN)

Vol. 11 2 583-583

Ämneskategorier

Utbildningsvetenskap

DOI

10.1016/j.joi.2017.03.001

Mer information

Senast uppdaterat

2019-09-03