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

  • Jeeyoung, Yoon (Department of Library and Information Science, Yonsei University) ;
  • Min, Song (Department of Library and Information Science, Yonsei University)
  • Received : 2022.10.18
  • Accepted : 2022.11.25
  • Published : 2022.11.30

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

Acknowledgement

This work was supported by a National Research Foundation of Korea grant funded by the Korean government (NRF-2020S1A5B1104865)

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