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한국문헌정보학회지

Comparison Analysis of Co-authorship Network and Citation Based Network for Author Research Similarity Exploration

한국문헌정보학회지 / 한국문헌정보학회지, (P)1225-598X; (E)2982-6292
2022, v.56 no.4, pp.269-284
https://doi.org/10.4275/KSLIS.2022.56.4.269


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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

한국문헌정보학회지