Peng et al., "Neural embeddings of scholarly periodicals reveal complex disciplinary organizations" (2021)
2021-04-23 → 2026-08-14
Hao Peng, Qing Ke, Ceren Budak, Daniel M. Romero, and Yong-Yeol Ahn, Science Advances 7(17), eabb9004 (2021)
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@article{peng2021neural,
author = {Hao Peng and Qing Ke and Ceren Budak and Daniel M. Romero and Yong-Yeol Ahn},
title = {Neural embeddings of scholarly periodicals reveal complex disciplinary organizations},
journal = {Science Advances},
volume = {7},
number = {17},
pages = {eabb9004},
doi = {10.1126/sciadv.abb9004},
archivePrefix = {arXiv},
eprint = {2001.08199},
primaryClass = {cs.DL},
year = {2021},
}
Learns continuous representations of scholarly periodicals from the citation network. The embeddings capture disciplinary and interdisciplinary relationships, cross-disciplinary analogies, and interpretable axes between knowledge domains.
Science of science, Map of science, Graph embedding