Using text analysis to quantify the similarity and evolution of scientific disciplines
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 classific...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2018-01-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.171545 |