Journal of Digital Contents Society (디지털콘텐츠학회 논문지)

Digital Contents Society (한국디지털콘텐츠학회)
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Research Trends Investigation Using Text Mining Techniques: Focusing on Social Network Services

텍스트마이닝을 활용한 연구동향 분석: 소셜네트워크서비스를 중심으로

  • Yoon, Hyejin (Department of Global Tourism, Baewha Women's University) ;
  • Kim, Chang-Sik (Department of Global Tourism, Baewha Women's University, Graduate School of Business IT, Kookmin University) ;
  • Kwahk, Kee-Young (College of Business Administration/Graduate School of Business IT, Kookmin University)
  • 윤혜진 (배화여자대학교 글로벌관광과) ;
  • 김창식 (배화여자대학교 글로벌관광과/국민대학교 비즈니스IT전문대학원) ;
  • 곽기영 (국민대학교 경영대학/비즈니스IT전문대학원)
  • Received : 2017.12.23
  • Accepted : 2018.03.25
  • Published : 2018.03.31
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Abstract

The objective of this study was to examine the trends on social network services. The abstracts of 308 articles were extracted from web of science database published between 1994 and 2016. Time series analysis and topic modeling of text mining were implemented. The topic modeling results showed that the research topics were mainly 20 topics: trust, support, satisfaction model, organization governance, mobile system, internet marketing, college student effect, opinion diffusion, customer, information privacy, health care, web collaboration, method, learning effectiveness, knowledge, individual theory, child support, algorithm, media participation, and context system. The time series regression results indicated that trust, support satisfaction model, and remains of the topics were hot topics. This study also provided suggestions for future research.

본 연구의 목적은 소셜네트워크서비스 주제에 관한 연구동향을 조사하는 것이다. 연구의 목적을 달성하기 위해서 웹오브사이언스 데이터베이스에서 제목에 'Social Network Service(SNS)'를 포함하는 1994년부터 2016년까지 출판된 논문 초록 308편을 분석 하였다. 본 연구에서는 텍스트마이닝 기법 중에서 최근 많이 적용되는 토픽모델링기법을 활용하였다. 토픽모델링 분석결과 20개의 토픽(신뢰, 지지, 만족 모델, 조직 지배구조, 모바일 시스템, 인터넷 마케팅, 대학생 효과, 의견 확산, 고객, 정보보호, 건강관리, 웹 협업, 방법, 학습 효과, 지식, 개인 이론, 아동 지지, 알고리즘, 미디어 참여, 문맥 시스템)이 도출되었다. 또한 시계열회귀분석 결과 모든 토픽은 상승 추세로 나타났다.

Keywords

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