Research on the influence of music on human society based on the cosine similarity algorithm

Yongfei Tao

doi:10.1117/12.2635993

5 May 2022 Research on the influence of music on human society based on the cosine similarity algorithm

Yongfei Tao

Proceedings Volume 12245, International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022); 122450W (2022) https://doi.org/10.1117/12.2635993
Event: International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022), 2022, Sanya, China

Abstract

This article first establish a directional network. And calculate the number of child nodes corresponding to each node, add other parameters, and calculate the music influence model of each artist through the entropy weight method (EWM). Through this evaluation model, we can quantitatively describe the influence of an artist. Then this paper uses the cosine similarity algorithm to model the music similarity using the theme model. Use the cosine similarity algorithm to calculate the cosine similarity in the space of any two songs, and then judge the similarity. Based on the data set, this paper calculate the influence of each characteristic of all music on the popularity of music, and get the influence of music characteristic on "infectivity". Through the radar chart of the musical characteristics of the artist Son House and his three typical influenced people, it is analyzed whether the artist can influence the creative tendency of his influenced people. With the help of the "elbow method" in the clustering determination k, the inflection point corresponding to the elbow is selected, and the inflection point represents the changer. Select the Electronic genre and divide the genre into three stages with the help of the total amount of music. Analyze the mean value of certain music indicators in these three stages, and use the change of the mean value of these music indicators to explore the evolution of the genre over time.

Citation Download Citation

Yongfei Tao "Research on the influence of music on human society based on the cosine similarity algorithm", Proc. SPIE 12245, International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022), 122450W (5 May 2022); https://doi.org/10.1117/12.2635993

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KEYWORDS

Radar

Data modeling

Principal component analysis

Computer simulations

Cultural heritage

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