Analysis of Research Trends in Skin Care using Keyword Network Analysis

Abstract

This study tried to examine the research trends related to skin care by using keyword network analysis on data extracted from the KCI journal D/B provided by the National Research Foundation of Korea. Text refinement was performed by extracting key words from a total of 504 papers published from 2011 to August 2022. The tools used for analysis are Textom and UCINET6. As a result, first, the keyword frequency was ‘cosmetics’ the most, followed by‘appearance management behavior’, ‘skin care shop’, ‘satisfaction’, ‘female’, ‘medical’, ‘service’, and ‘acne’. Second, as a result of examining the frequency of skin care related keywords according to the study period, the 1st period (2011-2016) and the 2nd period (2017-2022) both included ‘cosmetics’ as the keyword the most. In the second period, keywords such as ‘skin care shop’, ‘medical’, ‘aging’, and ‘acne’ appeared in high rankings. Third, keywords such as ‘cosmetics’, ‘satisfaction’, ‘skin care room’, ‘appearance management behavior’ and ‘service’ are keywords with high connection centrality, proximity centrality, and dominance centrality. It was confirmed that it was actively progressing.