• Title/Summary/Keyword: 학문분야 프로파일링 분석

Search Result 3, Processing Time 0.016 seconds

Profiling and Co-word Analysis of Teaching Korean as a Foreign Language Domain (프로파일링 분석과 동시출현단어 분석을 이용한 한국어교육학의 정체성 분석)

  • Kang, Beomil;Park, Ji-Hong
    • Journal of the Korean Society for information Management
    • /
    • v.30 no.4
    • /
    • pp.195-213
    • /
    • 2013
  • This study aims at establishing the identity of teaching Korean as a Foreign Language (KFL) domain by using journal profiling and co-word analysis in comparison with the relevant and adjacent domains. Firstly, by extracting and comparing topic terms, we calculate the similarity of academic journals of the three domains, KFL, teaching Korean as a Native Language (KNL), and Korean Linguistics (KL). The result shows that the journals of KFL form a distinct cluster from the others. The profiling analysis and co-word analysis are then conducted to visualize the relationship among all the three domains in order to uncover the characteristics of KFL. The findings show that KFL is more similar to KNL than to KL. Finally, the comparison of knowledge structures of these three domains based on the co-word analysis demonstrates the uniqueness of KFL as an independent domain in relation with the other relevant domains.

A Bibliometric Analysis on Twitter Research (트위터 관련 연구에 대한 계량정보학적 분석)

  • Kang, Beomil;Lee, Jae Yun
    • Journal of the Korean Society for information Management
    • /
    • v.31 no.3
    • /
    • pp.293-311
    • /
    • 2014
  • This study explored the research trends on Twitter in Korea by informetric methods. All 539 articles on Twitter published from 2009 to the April of 2014 were obtained from the KCI. Only article titles, abstracts, and keywords by authors were used in analysis. Academic journals in many different disciplines where Twitter articles were produced were analysed by profiling, and then, the subject areas of researches on Twitter were analysed by co-word analysis. The results of this study showed that Twitter-related papers were published in as many as 53 disciplines with journalism, business administration, and computer science to be core fields. It was also found that the core subject areas are political issues and business.

A Bibliometric Analysis of Research Trends on Disaster in Korea (국내 재난 관련 연구 동향에 대한 계량정보학적 분석)

  • Lee, Jae Yun;Kim, Soojung
    • Journal of the Korean Society for information Management
    • /
    • v.33 no.4
    • /
    • pp.103-124
    • /
    • 2016
  • This study aims to investigate the research trends of disaster in Korea through a bibliometric analysis. To do that, it analyzed 772 scholarly articles published from 2002 to 2016, retrieved from KCI (Korean Citation Index) database. For analysis, discipline profiling analysis, journal profiling analysis, and co-word analysis methods were used. The study found that the number of scholarly articles on disaster has increased, especially after Sewol ferry disaster occurred in 2004. The major discipline areas were identified as 'policy sciences/public administration' area, 'engineering' area, 'GIS/telecommunication' area, and 'medical/humanities/social sciences' area. In terms of time series, the proportion of scholarly articles published in 'policy sciences/public administration' area has decreased since 2014 and at the same time, discipline areas have been diversified including law, medical, and journalism.