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http://dx.doi.org/10.9715/KILA.2021.49.2.017

The Research Trends in Journal of the Korean Institute of Landscape Architecture using Topic Modeling and Network Analysis  

Park, Jae-Min (Department of Human Environment Design, Cheongju University)
Kim, Yong Hwan (Department of Library and Information Science, Cheongju University)
Sung, Jong-Sang (Dept. of Landscape Architecture, Graduate School of Environmental Studies, Seoul National University)
Lee, Sang-Seok (Dept. of Landscape Architecture, University of Seoul)
Publication Information
Journal of the Korean Institute of Landscape Architecture / v.49, no.2, 2021 , pp. 17-26 More about this Journal
Abstract
For the past half century, the Journal of the Korean Landscape Architecture has been leading the landscape architecture research and industry inclusively. In this study, abstracts of 1,802 articles were collected and analyzed with topic modeling and network analysis method. As a result of this paper, a total of 27 types of subjects were identified. Health and healing in the field of environmental psychology, garden and aesthetics, participation and community, modernity, place and placenness, microclimate, tourism and social equity also have been continued as important research area in this journal. Modernity, community and urban regeneration is hot topics and ecological landscape related topics were cold topics. Although there was a difference by subject, the variability of the research subjects appeared after the 2000s. In Network analysis, it shows that 'Park' is a representative keyword that can symbolize the journal, and 'landscape' is also important a leading area of the journal. Looking at the overall structure of the network, it can be seen that the journal conducts research on 'utilizing', 'using', and creating 'park', 'landscape', and 'space'. This study is meaningful in that it grasped the overall research trend of the journal by using topic modeling and network analysis of text mining.
Keywords
Landscape Architecture; Landscape Research; Research Trend; Text Mining; Park;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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