<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With globalization and the rapid evolution of internet, the channels of music communication have become diversified. The communication speed of online music has become faster, and the music-related information is enriched on the internet. However, these positive effects on music communication also increase the complexity of music copyright issues. In face of the great challenges on music copyright issues, this paper takes the online original music works trading platform, namely music trading network as the research object, and uses some mathematical methods, such as statistical theory, power function law and long tail theory, to discuss the copyright protection of the music trading network. Our motivation is to find a way to protect the copyright of original music product so as to stimulate the enthusiasm of musicians, as well as to help find a way to create a healthy original music ecosystem.</p>
</abstract>

With globalization and the rapid evolution of internet, the channels of music communication have become diversified. The communication speed of online music has become faster, and the music-related information is enriched on the internet. However, these positive effects on music communication also increase the complexity of music copyright issues. In face of the great challenges on music copyright issues, this paper takes the online original music works trading platform, namely music trading network as the research object, and uses some mathematical methods, such as statistical theory, power function law and long tail theory, to discuss the copyright protection of the music trading network. Our motivation is to find a way to protect the copyright of original music product so as to stimulate the enthusiasm of musicians, as well as to help find a way to create a healthy original music ecosystem.

Copyright protection of original online music products based on applied statistical mathematics – take music trade network as an example

College of Arts and Science, Applied Science University

Applied Mathematics and Nonlinear Sciences

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

With globalization and the rapid evolution of internet, the channels of music communication have become diversified. The communication speed of online music...

Copyright protection of original online music products based on applied statistical mathematics – take music trade network as an example

Online veröffentlicht: 17. Aug. 2022

Seitenbereich: 975 - 984

Eingereicht: 16. Okt. 2021

Akzeptiert: 15. Mai 2022

DOI: https://doi.org/10.2478/amns.2021.2.00209

Schlüsselwörter
statistical mathematics, online music, long tail theory, copyright, time stamp

© 2022 Tao Jiang et al., published by Sciendo

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

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Copyright protection of original online music products based on applied statistical mathematics – take music trade network as an example

Online veröffentlicht: 17. Aug. 2022

Seitenbereich: 975 - 984

Eingereicht: 16. Okt. 2021

Akzeptiert: 15. Mai 2022

DOI: https://doi.org/10.2478/amns.2021.2.00209

Schlüsselwörterstatistical mathematics, online music, long tail theory, copyright, time stamp

© 2022 Tao Jiang et al., published by Sciendo

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

Fig. 1

Fig. 2

Fig. 3

Schlüsselwörter
statistical mathematics, online music, long tail theory, copyright, time stamp