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Mapping Research Trajectories. (arXiv:2204.11859v1 [cs.DL])
April 27, 2022, 1:11 a.m. | Bastian Schäfermeier, Gerd Stumme, Tom Hanika
cs.LG updates on arXiv.org arxiv.org
Steadily growing amounts of information, such as annually published
scientific papers, have become so large that they elude an extensive manual
analysis. Hence, to maintain an overview, automated methods for the mapping and
visualization of knowledge domains are necessary and important, e.g., for
scientific decision makers. Of particular interest in this field is the
development of research topics of different entities (e.g., scientific authors
and venues) over time. However, existing approaches for their analysis are only
suitable for single entity …
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