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ISSN : 1013-0799

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Vol.37 No.3
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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 / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2020, v.37 no.3, pp.253-274
https://doi.org/10.3743/KOSIM.2020.37.3.253
Hea-Jin Kim
Kim, H. (2020). 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, 37(3), 253-274, https://doi.org/10.3743/KOSIM.2020.37.3.253
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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).

keywords
디지털 인문학, 인용 분석, 주경로 분석, 텍스트 마이닝, 한국학, digital humanities, citation analysis, main path analysis, text mining, Korean studies
Submission Date
2020-08-24
Revised Date
2020-09-03
Accepted Date
2020-09-14

Journal of the Korean Society for Information Management

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