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Frontiers in Art Research, 2021, 3(2); doi: 10.25236/FAR.2021.030202.

Research on Music influence based on Principal Component Analysis


Zhixiong Tao, Qiyang Pu, Gan Hu, Zheng Wang

Corresponding Author:
Zhixiong Tao

Dalian Maritime University, Dalian, Liaoning, 116026


This paper mainly studies the data related to music in depth. The paper measure the impact of music by creating a directed network. The paper also develop measures of music similarity, analyze the influencing factors of music, and study the evolution of music. The paper have grouped the seven small questions into four large sections so that they can be studied in greater depth and clarity. In the first section, firstly, The paper create a directed network of music influence, and express the directed influence relationship by followers pointing to influencers, and then get the adjacency matrix. Secondly, the paper introduce the idea of between centrality and eigenvector centrality to quantify the musical influence index of artists with different meanings. The paper also come up with the interesting phrase enduring influence.


Graph theory, Eigenvector centrality, Principal component analysis (PCA)

Cite This Paper

Zhixiong Tao, Qiyang Pu, Gan Hu, Zheng Wang. Research on Music influence based on Principal Component Analysis. Frontiers in Art Research (2021) Vol. 3 Issue 2: 6-9. https://doi.org/10.25236/FAR.2021.030202.


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