The Journal of Bigdata (한국빅데이터학회지)

Korea Bigdata Society (한국빅데이터학회)
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Trends in Social Media Participation and Change in ssues with Meta Analysis Using Network Analysis and Clustering Technique

소셜 미디어 참여에 관한 연구 동향과 쟁점의 변화: 네트워크 분석과 클러스터링 기법을 활용한 메타 분석을 중심으로

  • Received : 2019.08.01
  • Accepted : 2019.08.30
  • Published : 2019.08.30
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Abstract

This study used network analysis and clustering techniques to analyze studies on social media participation. As a result of the main path analysis, 37 major studies were extracted and divided into two networks: community-related networks and new media-related. Network analysis and clustering result in four clusters. This study has the academic significance of using academic data to grasp research trends at a macro level and using network analysis and machine learning as a methodology.

본 연구는 소셜 미디어 참여 관련 연구 베타분석을 위해 네트워크 분석과 클러스터링 기법을 활용하였다. 주경로 분석 결과 37개의 주요 연구가 추출되었고 커뮤니티 관련 네트워크와 뉴 미디어 관련 네트워크 두 가지로 구분되었다. 연결망 분석과 클러스터링 결과 네가지 클러스터가 형성되었다. 본 연구는 학술 데이터를 활용해 연구 동향을 거시적으로 파악하며 그 방법론으로 네트워크 분석과 기계학습을 활용하였다는 학술적 의의를 가진다.

Keywords

References

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