Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31
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pISSN : 1013-0799 / eISSN : 2586-2073
- https://journal.kci.go.kr/kosim
KJCKorea
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The Main Path Analysis of Korean Studies Using Text Mining: Based on SCOPUS Literature Containing ‘Korea’ as a Keyword
- Journal of the Korean Society for Information Management
- Abbr : JKOSIM
- 2020, 37(3), pp.253~274
- DOI : 10.3743/KOSIM.2020.37.3.253
- Publisher : 한국정보관리학회
- Research Area : Interdisciplinary Studies > Library and Information Science
- Received : August 24, 2020
- Accepted : September 14, 2020
- Published : September 30, 2020
1공주대학교
Accredited
ABSTRACT
In this study, text mining and main path analysis (MPA) were applied to understand the origins and development paths of research areas that make up the mainstream of Korean studies. To this end, a quantitative analysis was attempted based on digital texts rather than the traditional humanities research methodology, and the main paths of Korean studies were extracted by collecting documents related to Korean studies including citation information using a citation database, and establishing a direct citation network. As a result of the main path analysis, two main path clusters (Korean ancient agricultural culture (history, culture, archeology) and Korean acquisition of English (linguistics)) were found in the key-route search for the Humanities field of Korean studies. In the field of Korean Studies Humanities and Social Sciences, four main path clusters were discovered: (1) Korea regional/spatial development, (2) Korean economic development (Economic aid/Soft power), (3) Korean industry (Political economics), and (4) population of Korea (Sex selection) & North Korean economy (Poverty, South-South cooperation).
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This paper was written with support from the National Research Foundation of Korea.