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http://dx.doi.org/10.14400/JDC.2021.19.2.033

A Study on Trend Analysis in Convergence Research Applying Word Cloud in Korea  

Kim, Joon-Hwan (Department of Paideia, Sungkyul University)
Mun, Hyung-Jin (Department of Information & Communication Engineering, Sungkyul University)
Lee, Hang (Department of Economics, Gachon University)
Publication Information
Journal of Digital Convergence / v.19, no.2, 2021 , pp. 33-38 More about this Journal
Abstract
The convergence trend is the core of the 4th industrial revolution, and due to such expectations and possibilities, various countermeasures are being sought in diverse fields. This study conducted a quantitative analysis to identify the trend of convergence research over the past 10 years. Specifically, major research keywords were extracted, word cloud techniques were applied, and visualized to identify trends in academic research on convergence. To this end, research papers from 2012 to 2020 published in journal of digital convergence were investigated. The analysis period was divided into two periods: the former 4 years(2012-2015) and the latter 4 years(2016-2019) to confirm the difference in research trends. In addition, the research papers of 2020 were analyzed in order to more clearly understand the changes in the research trend of the last year due to the COVID-19. The results of this study are significant in that they can be used as useful basic data for future research and to understand research trends as keywords in the field of convergence.
Keywords
Convergence Research; Word Cloud Method; Research Trend; Text Mining;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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