Analysis of Beauty Creator Network, Using Big Data

This study aimed to analyze a network of beauty creators using big data, employing Textom and UCINET for the analysis. To achieve this, data were collected over one year from NAVER, DAUM, Google, and YouTube. The findings revealed the following: First, in terms of beauty creator-related keywords, creator was most frequently mentioned, followed by beauty, content, product, beauty creator, brand, makeup, skin, YouTube, fashion, recommendation, video, activity, influencer, NAVER, cosmetics, South Korea, marketing, consumer review and short form. Second, the network structure was visualized using NetDraw, which illustrated the relationships among the keywords. Third, using CONCOR for big data analysis, four distinct groups were identified: Content Production, Introduction of Cosmetics, Content Subscription, and Makeup Artist.