Visualization Analysis of Chinese Traditional Music Literature Based on CNKI in the Past Four Decades (1979–2019)
- DOI
- 10.2991/978-94-6463-034-3_97How to use a DOI?
- Keywords
- Chinese traditional music; Core journal papers; Literature review; Visualization analysis; CiteSpace software
- Abstract
This paper has conducted a bibliometric analysis of 289 papers entitled “Chinese traditional music” and published in CSSCI and core music journals of Peking University over the four decades, from 1979 to 2019, with the help of CiteSpace. This paper focuses on the external characteristics of Chinese traditional music research, such as the overall change trend, journal distribution and core authors. The study also aims to explore the thematic content and frontier analysis of Chinese traditional music research through the keyword cluster analysis. This paper has found that: 1. In terms of publication, “quantity and quality” tend to grow simultaneously; 2. In terms of research strength, there is a trend of “more quantity and less cooperation”; 3. In terms of research hotspots, it shows the characteristics of “theme concentration and perspective extension”.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yue Yuan AU - Li Jie AU - Jingjing Ke PY - 2022 DA - 2022/12/23 TI - Visualization Analysis of Chinese Traditional Music Literature Based on CNKI in the Past Four Decades (1979–2019) BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 947 EP - 956 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_97 DO - 10.2991/978-94-6463-034-3_97 ID - Yuan2022 ER -