Original paper
Using text analysis to quantify the similarity and evolution of scientific disciplines
Abstract
We use an information-theoretic measure of linguistic similarity to investigate the organization and evolution of scientific fields. An analysis of almost 20 M papers from the past three decades reveals that the linguistic similarity is related but different from experts and citation-based classifications, leading to an improved view on the organization of science. A temporal analysis of the similarity of fields shows that some fields (e.g....
Paper Details
Title
Using text analysis to quantify the similarity and evolution of scientific disciplines
Published Date
Jan 1, 2018
Journal
Volume
5
Issue
1
Pages
171545 - 171545
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Notes
History