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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...
Autores principales: | Peng, Hao, Ke, Qing, Budak, Ceren, Romero, Daniel M., Ahn, Yong-Yeol |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2021
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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 |
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