Proceedings of the 2022 International Conference on Social Sciences and Humanities and Arts (SSHA 2022)

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Research on Music Influence Based on PPMCC

Authors
Tianxing Ma1, *, Xiaobin Zhou1, Bowen Li2, Peirong Wei1, Renzong Li3, Shuyao Fang4
1School of Resources and Safety Engineering, Central South University, Changsha, Hunan, China
2School of Minerals Processing and Bioengineering, Central South University, Changsha, Hunan, China
3School of Architecture and Art, Central South University, Changsha, Hunan, China
4School of Food and Bioengineering, Changsha University of Science & Technology, Changsha, Hunan, China
Corresponding Author
Tianxing Ma
Available Online 8 April 2022.
DOI
10.2991/assehr.k.220401.050How to use a DOI?
Keywords
Network Science; Music; PPMCC
Abstract

Music is an important part of human society. Artists will be affected in many ways when creating music, such as the influence between artists, politics, culture, and technology.

This article uses network science to model and analyze the influence of music, focusing on analyzing the influence between artists. There are influence and follow-up relationships between artists, and it is appropriate to describe these relationships with directed diagrams. We built a relationship model based on all existing influencers and followers data, built a relationship model subnet centered on influencers, and built a relationship model from the perspective of music genre, and conducted a multi-faceted analysis of music influence. This paper uses network science to model and analyze the influence of music, focusing on the influence between artists. This paper builds a relationship model based on all the existing influencer and follower data, build a relationship model subnet with the influencer as the center, and build a relationship model from the perspective of music genres to analyze the music influence in many aspects. This paper also develops a similarity measure MMS based on Pearson product moment correlation coefficient (PPMCC). With the passage of time, the music genre with the largest number of artists is analyzed, and it is found that some music characteristics of this school will change greatly with the passage of time. That is to say, the characteristics of the genre are not immutable, but if the change exceeds a certain limit, it will be transformed into other genres. This is the process of music development. Finally, combined with some real-world influence, our model is further extended.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2022 International Conference on Social Sciences and Humanities and Arts (SSHA 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
8 April 2022
ISBN
978-94-6239-560-2
ISSN
2352-5398
DOI
10.2991/assehr.k.220401.050How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

risenwbib
TY  - CONF
AU  - Tianxing Ma
AU  - Xiaobin Zhou
AU  - Bowen Li
AU  - Peirong Wei
AU  - Renzong Li
AU  - Shuyao Fang
PY  - 2022
DA  - 2022/04/08
TI  - Research on Music Influence Based on PPMCC
BT  - Proceedings of the 2022 International Conference on Social Sciences and Humanities and Arts (SSHA 2022)
PB  - Atlantis Press
SP  - 247
EP  - 251
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220401.050
DO  - 10.2991/assehr.k.220401.050
ID  - Ma2022
ER  -