Cargando…
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...
Autores principales: | Dias, Laércio, Gerlach, Martin, Scharloth, Joachim, Altmann, Eduardo G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792934/ https://www.ncbi.nlm.nih.gov/pubmed/29410857 http://dx.doi.org/10.1098/rsos.171545 |
Ejemplares similares
-
Quantifying layer similarity in multiplex networks: a systematic study
por: Bródka, Piotr, et al.
Publicado: (2018) -
ESCAPE Data Lake - Next-generation management of cross-discipline Exabyte-scale scientific data
por: Di Maria, Riccardo, et al.
Publicado: (2021) -
The discipline of organizing
por: Glushko, Robert J
Publicado: (2016) -
Programming discipline
por: Dahl, O J
Publicado: (1974) -
Scientific disciplines embracing no border Research Environment thanks to Science Mesh
por: Muscella, Silvana
Publicado: (2022)