Measuring cognitive distance between publication portfolios

Volume: 11, Issue: 2, Pages: 583 - 594
Published: May 1, 2017
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...
Paper Details
Title
Measuring cognitive distance between publication portfolios
Published Date
May 1, 2017
Volume
11
Issue
2
Pages
583 - 594
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