Research Trends Analysis of ‘The Journal of Career Education Research’ using Text Network Analysis

2021 ◽  
Vol 34 (3) ◽  
pp. 43-66
Author(s):  
Youngah Cho
Keyword(s):  
Education Research ◽  
Network Analysis ◽  
Career Education ◽  
Research Trends ◽  
Trends Analysis ◽  
Text Network Analysis

Bibliometric Analysis on the Research Trends in the Journal of Korean Society of Beauty and Arts using Text Network Analysis

2020 ◽  
Vol 21 (3) ◽  
pp. 127-141
Author(s):  
Shin-Hee Kim
Keyword(s):  
Network Analysis ◽  
Bibliometric Analysis ◽  
Growth Period ◽  
Research Trends ◽  
Actual State ◽  
Expression Recognition ◽  
Korean Society ◽  
Research Stream ◽  
New Research ◽  
Text Network Analysis

The purpose of this study is to identify the research stream and trend in the field of beauty by using bibliometric analysis based on text network analysis. 792 research papers that had been published in The Korean Society of Beauty and Arts from 2008 to 2019 were collected and network analysis was conducted through text mining, pre-processing, purifying of data. key findings are as follows. First, the quantitative and qualitative aspects of the research have improved since 2016, and methodology focused on the words such as influence, use, effect expression, recognition, change, comparison, performance, and actual state. Second, during the introduction period, researches focused on identifying the effects of certain issues related to beauty for women. Third, research methodologies were diversified during the growth period, and business studies related to the satisfaction of beauty services were increased. Fourth, it was expanded to the researches on service satisfaction and follow-up behavior and researches on psychological aspects in the period of maturity. This study is valuable in that it provides useful information that is required for the new research in the beauty field, along with identifying existing research trends.

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