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Neural embeddings of scholarly periodicals reveal complex disciplinary organizations

Understanding the structure of knowledge domains is one of the foundational challenges in the science of science. Here, we propose a neural embedding technique that leverages the information contained in the citation network to obtain continuous vector representations of scientific periodicals. We d...

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Detalles Bibliográficos
Autores principales: Peng, Hao, Ke, Qing, Budak, Ceren, Romero, Daniel M., Ahn, Yong-Yeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064639/
https://www.ncbi.nlm.nih.gov/pubmed/33893092
http://dx.doi.org/10.1126/sciadv.abb9004