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Blockchain Research Trends in Korea: A Topic Modeling Approach

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(11), pp.353~362
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : September 29, 2025
  • Accepted : November 3, 2025
  • Published : November 28, 2025

Seonghyeon Ma 1 Hanjun Lee 1

1명지대학교

Accredited

ABSTRACT

This study quantitatively analyzes the thematic structure and trends of blockchain research in South Korea to provide a systematic understanding of the domestic research landscape. Using 2,564 blockchain-related abstracts collected from the DBpia database, Latent Dirichlet Allocation topic modeling was applied to identify the major research themes. The study addresses the following questions: what key topics characterize domestic blockchain research, how are these topics interrelated across technological, institutional, and industrial domains, and what implications can be derived for future research and practice. The analysis reveals that domestic studies can be grouped into four areas —system architecture and data integrity, digital asset markets and regulation, Web 3.0 platforms and the digital economy, and industry-specific applications and service innovation—showing an evolution from technical foundations toward institutional and practical applications. This study contributes by quantitatively mapping domestic blockchain research, clarifying the structure of its thematic landscape, and offering practical insights for policy design, industry adoption, and educational development.

Citation status

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