Research on Music Influence Based on PCA and Complex Network
DOI: 10.23977/artpl.2021.23017 | Downloads: 15 | Views: 836
Author(s)
Shuai Zhang 1, Yuhan Wu 1, Ziming Huang 1, Farong Wang 1, Aobo Li 1
Affiliation(s)
1 Anhui Polytechnic University, Wuhu, Anhui 241000
Corresponding Author
Shuai ZhangABSTRACT
Music is an important product of human emotional expression. In this paper, SPSS, Gephi and other software were used to establish a complex network model, and mathematical and topological methods were used to analyze the relationship be-tween influencers and followers, and to study the changes of music over time. First, we used PCA model to reduce the dimension of music fea-tures and took the generated indicators as the measurement standard of music similarity. In order to reflect the difference and derivation of genres, we combined PCA and complex network model to analyze. Finally, we conducted Euclidean distance consistency analysis based on the PCA model, which could obtain the similarity degree between musicians.
KEYWORDS
PCA Model, Complex Network Model, Euclidean distance, Music GenreCITE THIS PAPER
Shuai Zhang, Yuhan Wu, Ziming Huang, Farong Wang, Aobo Li. Research on Music Influence Based on PCA and Complex Network. Art and Performance Letters (2021) 2: 81-86. DOI: http://dx.doi.org/10.23977/artpl.2021.23017
REFERENCES
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