Linking Dance Digitization: A Bibliometric Analysis of Research Agenda and Future Trends

Authors

  • Yu Zhang, Nan Liu

Abstract

Integrating advanced artificial intelligence into dance is essential to balance digital technology and dance skills. This study aims to analyze the research prospects of digital dance through bibliometric analysis. The method involves constructing a knowledge graph based on 299 relevant data retrieved from Web of Science. The results show that digital dance is showing a continuous growth trend. Aristidou, Andreas, Eggenberger and Patrick are the main authors, and the University of California System and Guangzhou Sport University are the main institutions. The main contributing countries include China, USA, and England. Keyword analysis also highlights virtual reality, breast cancer and physical activity. Predictions show that the association between digital dance and health is a future research trend.

Published

2024-09-18

How to Cite

Yu Zhang. (2024). Linking Dance Digitization: A Bibliometric Analysis of Research Agenda and Future Trends. The International Journal of Multiphysics, 18(3), 1073 - 1086. Retrieved from https://www.themultiphysicsjournal.com/index.php/ijm/article/view/1406

Issue

Section

Articles