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- P-ISSN1225-598X
- E-ISSN2982-6292
Comparison Analysis of Co-authorship Network and Citation Based Network for Author Research Similarity Exploration
한국문헌정보학회지 / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2022, v.56 no.4, pp.269-284
https://doi.org/10.4275/KSLIS.2022.56.4.269
윤지영
(연세대학교 문헌정보학과)
송민 (연세대학교)
송민 (연세대학교)
윤지영,
&
송민.
(2022). . 한국문헌정보학회지, 56(4), 269-284, https://doi.org/10.4275/KSLIS.2022.56.4.269
Abstract
Exploring research similarity of researchers offers insight on research communities and potential interactions among scholars. While co-authorship is a popular measure for studying research similarity of researchers, it cannot provide insight on authors who have not collaborated yet. In this work, we present novel approach to capture research similarity of authors using citation information. Extensive study is conducted on DATA & KNOWLEDGE ENGINEERING (DKE) publications to demonstrate and compare suggested approach with co-authorship based approach. Analysis result shows that proposed approach distinguishes author relationships that is not shown in co-authorship network.
- keywords
- Author research similarity analysis, Co-authorship network, Citation based author analysis, Network Analysis, Data & Knowledge Engineering
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