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

윤지영 (Jeeyoung Yoon); 송민 (Min Song)

doi:10.4275/KSLIS.2022.56.4.269

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

Journal of the Korean Society for Library and Information Science
2022, 56(4), pp.269-284
DOI : 10.4275/KSLIS.2022.56.4.269
Publisher : 한국문헌정보학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : October 18, 2022
Accepted : November 25, 2022
Published : November 30, 2022

Jeeyoung Yoon ¹, Min Song ²

¹연세대학교 문헌정보학과
²연세대학교

Excellent Accredited

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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* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of the Korean Society for Library and Information Science 2023 KCI Impact Factor : 0.84

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

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* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Library and Information Science 2023 KCI Impact Factor : 0.84

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

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KEYWORDS

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* References for papers published after 2023 are currently being built.