<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>People’s traditional music passed down from generation to generation should be heard by the world, and music tunes, as one of the indispensable basic elements of traditional music, need to be studied more deeply and systematically. In this paper, based on modern network information technology, we use big data visualization technology to analyze and study traditional music tunes. Using the RGB color space principle to understand the visualization technology, the number of research literature related to traditional music tunes in the past 20 years is obtained through literature collation, and the chart way of visualization using Sankey diagrams is analyzed to conclude traditional music tunes research. The data show that most research literature on traditional music tunes features an average of 6 articles per year. The number of ephemeral articles has gradually increased over the decade, with the total effective number of articles being about 7 in 2002 and increasing to about 39 in 2022. The research institutions are mainly concentrated in many universities in Henan, Yunnan, Hunan, Guangdong, and Guangxi, but the main traditional music tunes studied in each place also Have differences. The research on traditional music tunes by universities has a guiding and leading role, and the increase and depth of related research literature are also conducive to the protection and inheritance of traditional music tunes and integration and innovation in each region.</p>
</abstract>

People’s traditional music passed down from generation to generation should be heard by the world, and music tunes, as one of the indispensable basic elements of traditional music, need to be studied more deeply and systematically. In this paper, based on modern network information technology, we use big data visualization technology to analyze and study traditional music tunes. Using the RGB color space principle to understand the visualization technology, the number of research literature related to traditional music tunes in the past 20 years is obtained through literature collation, and the chart way of visualization using Sankey diagrams is analyzed to conclude traditional music tunes research. The data show that most research literature on traditional music tunes features an average of 6 articles per year. The number of ephemeral articles has gradually increased over the decade, with the total effective number of articles being about 7 in 2002 and increasing to about 39 in 2022. The research institutions are mainly concentrated in many universities in Henan, Yunnan, Hunan, Guangdong, and Guangxi, but the main traditional music tunes studied in each place also Have differences. The research on traditional music tunes by universities has a guiding and leading role, and the increase and depth of related research literature are also conducive to the protection and inheritance of traditional music tunes and integration and innovation in each region.

Research on the analysis of traditional music tunes in the context of network information technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

People’s traditional music passed down from generation to generation should be heard by the world, and music tunes, as one of the indispensable basic elements...

Research on the analysis of traditional music tunes in the context of network information technology

Online veröffentlicht: 27. Sept. 2023

Seitenbereich: -

Eingereicht: 12. Dez. 2022

Akzeptiert: 07. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00374

Schlüsselwörter
Traditional music tunes, Data visualization, RGB color space, Linear and nonlinear transformation, Sankey diagram.

© 2023 Xintao Ma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the analysis of traditional music tunes in the context of network information technology

Online veröffentlicht: 27. Sept. 2023

Seitenbereich: -

Eingereicht: 12. Dez. 2022

Akzeptiert: 07. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00374

SchlüsselwörterTraditional music tunes, Data visualization, RGB color space, Linear and nonlinear transformation, Sankey diagram.

© 2023 Xintao Ma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Traditional music tunes, Data visualization, RGB color space, Linear and nonlinear transformation, Sankey diagram.