한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)

한국정보처리학회 (Korea Information Processing Society)
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클리크 마이닝에 기반한 새로운 커뮤니티 탐지 알고리즘 연구

A Novel Study on Community Detection Algorithm Based on Cliques Mining

  • 양예선 (순천향대학교 소프트웨어융합학과) ;
  • 펭소니 (순천향대학교 소프트웨어융합학과) ;
  • 박두순 (순천향대학교 소프트웨어융합학과) ;
  • 김석훈 (순천향대학교 소프트웨어융합학과) ;
  • 이혜정 (순천향대학교 AI.SW 교육원) ;
  • 싯소포호트 (순천향대학교 소프트웨어융합학과)
  • Yang, Yixuan (Dept. of Software Convergence, Soonchunhyang University) ;
  • Peng, Sony (Dept. of Software Convergence, Soonchunhyang University) ;
  • Park, Doo-Soon (Dept. of Software Convergence, Soonchunhyang University) ;
  • Kim, Seok-Hoon (Dept. of Software Convergence, Soonchunhyang University) ;
  • Lee, HyeJung (Institute for Artificial Intelligence and Software, Soonchunhyang University) ;
  • Siet, Sophort (Dept. of Software Convergence, Soonchunhyang University)
  • 발행 : 2022.11.21
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초록

Community detection is meaningful research in social network analysis, and many existing studies use graph theory analysis methods to detect communities. This paper proposes a method to detect community by detecting maximal cliques and obtain the high influence cliques by high influence nodes, then merge the cliques with high similarity in social network.

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과제정보

This research was supported by the National Research Foundation of Korea (No. NRF-2022R1A2C1005921) and BK21 FOUR (Fostering Outstanding Universities for Research) (No.5199990914048)