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Analysis and Research on the influence of Music characteristics based on Entropy weight Network Model

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DOI: 10.23977/jnca.2021.060102 | Downloads: 12 | Views: 804


Chuqing Sun 1, Ke Xu 2, Runze Zhao 2


1 School of Data Science and Media Intelligence, Communication University of China, Beijing 100000
2 School of Computer and Cyber Sciences, Communication University of China, Beijing 100000

Corresponding Author

Chuqing Sun


Music plays an important role in our lives and affects society in ways that make listeners feel emotionally connected. The purpose of this paper is to study the evolution of music by building network models and quantified indicators’ providing evidence on how the previously produced music influences new music and artists. In this paper, a directional relationship network with artists as nodes is established, different colors are used to represent different music genres, and the nodes with high scores are resized to clearly see the interaction between musicians. Next, we use the entropy method to obtain the weight of each music character. The cosine similarity method and Euclidean distance method are used to extract the similarity information and transform it into a matrix.


Music characteristics, correlation, entropy weight, cosine of included angle


Chuqing Sun, Ke Xu, Runze Zhao. Analysis and Research on the influence of Music characteristics based on Entropy weight Network Model. Journal of Network Computing and Applications (2021) 6: 6-10. DOI:


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