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http://dx.doi.org/10.14578/jkfs.2022.111.1.36

Study on Research Trends (2001~2020) of the Baekdudaegan Mountains with Big Data Analyses of Academic Journals  

Lee, Jinkyu (Department of Forest Resources, Kookmin University)
Sim, Hyung Seok (Department of Forest Resources, Kookmin University)
Lee, Chang-Bae (Department of Forest Resources, Kookmin University)
Publication Information
Journal of Korean Society of Forest Science / v.111, no.1, 2022 , pp. 36-49 More about this Journal
Abstract
The purpose of this study was to analyze domestic research trends related to the Baekdudaegan Mountains in the last two decades. In total, 551 academic papers and keyword data related to the Baekdudaegan Mountains were collected using the "Research and Information Service Section" and analyzed using "big data" analysis programs, such as Textom and UCINET. Papers related to the Baekdudaegan Mountains were published in 177 academic journals, and 229 papers (41.6% of all published papers) were published between 2011 and 2015. According to word frequency data (N-gram analyses), the major research topic over the past 20 years was "species diversity." According to CONCOR analysis results, the main research could be divided into 15 areas, the most important of which was "species diversity," followed by "vegetation restoration and management," and "culture." Ecological research comprised 12 groups with a frequency of 78.8%; humanities and social research comprised 2 groups with a frequency of 15.6%. Overall, our study of research areas and quantitative data analyses provides valuable information that could help establish policy formulation.
Keywords
Baekdudaegan Mountains; research trends; species diversity; text mining; big data;
Citations & Related Records
Times Cited By KSCI : 13  (Citation Analysis)
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