Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on Research Trends in Metaverse Platform Using Big Data Analysis

빅데이터 분석을 활용한 메타버스 플랫폼 연구 동향 분석

  • Hong, Jin-Wook (Department of Industrial Design, Hanyang University) ;
  • Han, Jung-Wan (Department of Industrial Design, Hanyang University)
  • 홍진욱 (한양대학교 산업디자인학과) ;
  • 한정완 (한양대학교 산업디자인학과)
  • Received : 2022.04.11
  • Accepted : 2022.05.20
  • Published : 2022.05.28
Download PDF
⟨ Previous Next ⟩

Abstract

As the non-face-to-face situation continues for a long time due to COVID-19, the underlying technologies of the 4th industrial revolution such as IOT, AR, VR, and big data are affecting the metaverse platform overall. Such changes in the external environment such as society and culture can affect the development of academics, and it is very important to systematically organize existing achievements in preparation for changes. The Korea Educational Research Information Service (RISS) collected data including the 'metaverse platform' in the keyword and used the text mining technique, one of the big data analysis. The collected data were analyzed for word cloud frequency, connection strength between keywords, and semantic network analysis to examine the trends of metaverse platform research. As a result of the study, keywords appeared in the order of 'use', 'digital', 'technology', and 'education' in word cloud analysis. As a result of analyzing the connection strength (N-gram) between keywords, 'Edue→Tech' showed the highest connection strength and a total of three clusters of word chain clusters were derived. Detailed research areas were classified into five areas, including 'digital technology'. Considering the analysis results comprehensively, It seems necessary to discover and discuss more active research topics from the long-term perspective of developing a metaverse platform.

본 최근 코로나19로 인해 비대면 상황이 장기간 지속화됨에 따라 사회 전반에 걸쳐 IOT, AR, VR, 빅데이터와 같은 4차 산업 혁명의 기반 기술이 메타버스 플랫폼에 전반적으로 영향을 미치고 있다. 이러한 사회, 문화 등 외부 환경의 변화는 학문의 발전에 영향을 미칠 수 있으며, 변화에 대비하여 기존 성과물을 체계적으로 정리하는 일은 매우 중요하다. 한국 교육학술정보원(RISS)에서 키워드에 '메타버스 플랫폼'을 포함하는 자료를 수집하여 빅데이터 분석 중 하나인 텍스트 마이닝 기법을 사용하였다. 수집된 데이터 자료를 워드 클라우드 빈도 분석, 키워드 간 연결강도, 구조등위성 분석을 하여 메타버스 플랫폼 연구 동향을 살펴보았다. 연구결과 워드 클라우드 분석에서는 '활용', '디지털', '기술', '교육' 순으로 키워드가 나타났다. 키워드 간 연결강도(N-gram) 분석 결과 '에듀→테크'의 연결강도가 가장 높게 나타났으며, 워드 연쇄 군집 수의 총 3개의 군집이 도출되었다. 세부 연구영역은 '디지털 기술'을 포함 다섯 영역으로 분류되었다. 종합적으로 고려했을 때 메타버스 플랫폼 분야의 학문적 연구 주제 범위는 그리 넓지 않았으며, 장기 지향적 관점에서 보다 적극적인 연구 주제의 발굴 및 논의가 필요해 보인다.

Keywords

References

  1. Song, Stephen W, Chung, Dong-hun. (2021). Explication and Rational Conceptualization of Metaverse. Informatization policy, 28(3), 3-22. https://doi.org/10.22693/NIAIP.2021.28.3.003
  2. Moon, Y. H., & Choi, J. (2018). Content Analysis of 'Journal of Channel and Retailing': Research Trends and Future Directions. Journal of Channel and Retailing, 23(4), 51-73. https://doi.org/10.17657/jcr.2018.10.31.3
  3. Heo, M. Y. (2021). Major discussion trends and consumer issues on Metaverse. Consumer Policy Trends, (117), 1-24.
  4. Moon, Y. H., & Choi, J. (2018). Content Analysis of 'Journal of Channel and Retailing': Research Trends and Future Directions. Journal of Channel and Retailing, 23(4), 51-73. https://doi.org/10.17657/jcr.2018.10.31.3
  5. Kwon, J. H, & Tae, J. H. (2018). Trend analysis of humanities content research institute. Humanities contents,, (51), 9-38. https://doi.org/10.18658/humancon.2018.12.51.9
  6. Kostoff, R. N., & Geisler, E. (1999). Strategic management and implementation of textual data mining in government organizations. Technology Analysis & Strategic Management, 11(4), 493-525. https://doi.org/10.1080/095373299107302
  7. Hwang, S. I, & Hwang, D. Y. (2018). A Study on the Research Trends in Arts Management in Korea using Topic Modeling and Semantic Network Analysis. A Study on Art Management, 5-29.
  8. Hwang, S. I, & Kim, M, K, (2019). An Analysis of Artificial Intelligence(A.I.)_related Studies' Trends in Korea Focused on Topic Modeling and Semantic Network Analysis. Journal of the Digital Contents Society, 20, 1847-1855. https://doi.org/10.9728/dcs.2019.20.9.1847
  9. Choi, Y. R. (2021). Analysis of research trends in multicultural education using text mining analysis. Early Childhood Education Research, 41(6), 333-350.
  10. Choi , G. W. (2019). Topic Modeling on Research Trends of Industry 4.0 Using Text Mining. Korea Information and Communication Association, 23(7), 764-770.
  11. Heo, M. Y. (2021). Major discussion trends and consumer issues on Metaverse. Consumer Policy Trends, (117), 1-24.
  12. Na, S. G. & Kim, S. A. (2022). Trend Analysis for Metaverse Development in Education Based on LMS. Journal of the Korean Communications Association (Information and Communication), 39(2), 45-50.
  13. KIM, N. G, Lee, D. H, & Choi, H. C. (2017). Investigations on Techniques and Applications of Text Analytics. Journal of the Korea Communications Association, 42(2), 471-492.
  14. Cortes, V. (2004). Lexical bundles in published and student disciplinary writing: Examples from history and biology. English for specific purposes, 23(4), 397-423. https://doi.org/10.1016/j.esp.2003.12.001
  15. Shin, H. S., & Oh, H. S. (2021). Strategy for the Operation of Online and Offline Convergence Festival in a Hyper Connected Society-Focusing on the 2021 Seoul Drum Festival.
  16. Park, S. J. (2021). The Direction of Metaverse Education in the Future Society, Future Convergence Education, 2(2), 61-81
  17. Yang, S. J. (2021). Christian Education in the Age of Edutech: Centered on Connecting and Sharing, Individualized Customized Learning, and Experience and Realization. the world of theology, (101), 309-344.
  18. Lee, J. K, & Kim, E. C. (2021). A study on the immersive metaverse system to improve the concentration of education. E-Business research, 22(6), 3-14.
  19. Song, S. W., & Chung, D. H. (2021). Explication and Rational Conceptualization of Metaverse. Informatization Policy, 28(3), 3-22. https://doi.org/10.22693/NIAIP.2021.28.3.003
  20. Lee, C. N. (2021). A study on copyright issues in Metaverse - Focusing on the spatial data of digital twin -. Management law, 31(4), 463-493.
  21. Kim, J. S. (2021). The Direction of Risk Literacy-Based Teaching, Learning and Evaluation in Elementary English Classrooms. Energy climate change education, 11, 297-310.
  22. Kim, T., & Kim, S. (2021). Digital Transformation, Business Model and Metaverse. Journal of Digital Convergence, 19(11), 215-224. https://doi.org/10.14400/JDC.2021.19.11.215
  23. Kim, S. R, & Lee, Y. H. (2021). Metaverse-based Humanities Contents Utilization and Legal Protection Measures . the study of law, 21(4), 49-78.
  24. Choi, E., & Lee, Y. S. (2021). A Study on the Planning of Minhwa Museum Utilizing the Metaverse Platform: Focusing on Zepeto Case. Journal of Korea Game Society, 21(6), 63-74. https://doi.org/10.7583/JKGS.2021.21.6.63
  25. Oh, H. J. (2021). Contents Application Methods of Metaverse Platforms by Type Examples. the humanities and society 21, 12(6), 2673-2684.
  26. Kim, S. R, & Lee, Y. H. (2021). The Application of Metaverse-Based Humanities Contents and Legal Protection Measures, the study of law, 21(4), 49-78.
  27. Hong, H. K.. (2021). An Exploratory Study on the Educational Application of Metaverse. Culture and convergence, 43, 1-23.
  28. Shin, H. S., & Oh, H. S. (2021). Strategy for the Operation of Online and Offline Convergence Festival in a Hyper Connected Society-Focusing on the 2021 Seoul Drum Festival.
  29. H. J. Lee. (2022). Feature analysis of the metaverse that apply a nft. Doctoral dissertation. Konkuk University, Seoul.
  30. Park, S. R, Lim, J. H & Kim, K. H. (2021). A study on blockchain-based metaverse for development of PropTech industries. Korea Communications Association, 190-191.
  31. Kye, B., Han, N., Kim, E., Park, Y., & Jo, S. (2021). Educational applications of metaverse: possibilities and limitations. Journal of Educational Evaluation for Health Professions, 18.