본문 바로가기
  • Home

An Analysis of Research Trends on Generative AI in Library and Information Science through Keyword Network Analysis

  • Journal of the Korean Biblia Society for Library and Information Science
  • 2025, 36(3), pp.227~245
  • DOI : 10.14699/KBIBLIA.2025.36.3.57341
  • Publisher : Journal Of The Korean Biblia Society For Library And Information Science
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 22, 2025
  • Accepted : August 28, 2025
  • Published : September 30, 2025

Hoo jeong Kim 1 Kim, Seonghee 2

1중앙대학교 일반대학원 문헌정보학과
2중앙대학교

Accredited

ABSTRACT

This study conducted a bibliometric analysis based on keyword network analysis to identify research trends on generative AI in the field of library and information science. After collecting articles on the topic of “generative AI” from the Web of Science database, word frequency analysis and TF-IDF analysis were performed. Centrality measures were also applied to extract key keywords. In addition, the CONCOR algorithm, based on the concept of structural equivalence, was used to create blocks with similar semantic structures, and the thematic characteristics of each block were analyzed. The results of the analysis are as follows: First, the application and education of generative AI were found to be the most commonly used and influential subject areas in the field of library and information science. Second, The research was shown to be expanding into areas such as response generation using RAG technology applied to GPT, decision support systems, and convergence with domains such as education and healthcare.

Citation status

* References for papers published after 2024 are currently being built.