The Research Journal of the Costume Culture (복식문화연구)

The Costume Culture Association (복식문화학회)
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Language network analysis of make-up behavior research

언어 네트워크 분석을 통한 화장행동 연구동향 분석

  • 백경진 (정화예술대학교 미용예술학부)
  • Received : 2019.05.17
  • Accepted : 2019.06.21
  • Published : 2019.06.30
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Abstract

Research on cosmetic behavior has developed significantly since the 2000s. Reviewing cosmetic behavior research can be meaningful because it can grasp trends in the domestic cosmetics market, and it can also illuminate how domestic consumers' interest in makeup has changed over time. The purpose of this study is to investigate the links between major keywords and the keywords which affect makeup behavior of different age groups through network analysis. In this study we analyzed thesis and journal data based on makeup behavior through network analysis using Nodexl. We analyzed 10 years of journals and theses - from 2000 to 2017, and investigated age-related differences in variables related to makeup behavior. Research subjects were divided into age-based groups: 10, 20-40, and over 50. The total number of theses collected was 82. In order to perform network analysis using the Nodexl program, we extracted the frequency of representative words using the KrKwic program. The extracted core words were analyzed for degree centrality, betweenness centrality and eigenvector centrality using Nodexl. The expected result is that the network analysis using keywords will lead to different variables depending on age and the main goal of the cosmetics market, and it is expected to be used as the basis for follow-up research related to cosmetic behavior.

Keywords

References

  1. An, S. N., & An, J. S. (2017). A study on the research trends of beauty services as accepting NCS. Journal of the Korean Society Design Culture, 23(4), 551-558. doi:10.18208/ksdc.2017.23.4.551
  2. Choe, J. H., & Kim, M. Y. (2016). Analysis of previous researches on beauty attitude. The Research Journal of the Costume Culture, 24(6), 756-776. doi:10.29049/rjcc.2016.24.6.756
  3. Kim, H. H., & Yoo, T. S. (2002). A study of the make-up behaviors and consumers anxiety in purchasing cosmetics of the female high school student. Journal of the Korean Society of Clothing and Textiles, 26(2), 251-262.
  4. Kim, J.-S. (2005). The effect of make-up on the self-concept in the female college students. Fashion & Textile Research Journal, 7(6), 633-640.
  5. Kim, K.-M., Jeun, M.-J., & Kim, J.-S. (2016). Analysis on research trends of papers published in the Korean Society of Beauty Industry Journal. Journal of Beauty Industry, 10(2), 15-32.
  6. Kwon, J.-H., & Kim, J.-S. (2015). Bibliometric analysis on the research trends in field hair style. Journal of Beauty Industry, 9(2), 23-36.
  7. Lee, H. W., & Kim, M. Y. (2014). Hairdressing service concept framework and the analysis of previous study on consumer satisfaction of hairdressing service. Journal of the Korean Society of Cosmetology, 20(1), 127-137.
  8. Lee, J.-Y. (2006). Centrality measures for bibliometric network analysis. Journal of the Korean Library and Information Science Society, 40(3), 191-214. https://doi.org/10.4275/KSLIS.2006.40.3.191
  9. Lee, S.-S. (2012). 네트워크 분석 방법론 [Network analysis methods]. Seoul: Nonhyeong.
  10. Lee, S.-S. (2014). A content analysis of journal articles using the language network analysis methods. Journal of the Korean Society for Information Management, 31(4), 49-68. https://doi.org/10.3743/KOSIM.2014.31.4.049
  11. NodeXL Korea. (2015). 노드엑셀 따라잡기 [Catch up on the NodeXL]. Seoul: Paradigmbook.
  12. Park, B.-N., & Kim, J.-S. (2018). A bibliometrics analysis on research trends in the field of beauty management. Journal of Beauty Industry, 12(1), 87-102.

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