Paper
Influence Between Music Based on Big Data Analysis
Published Nov 1, 2021 · Hongxin Wu, Chengqi Zhang
2021 17th International Conference on Computational Intelligence and Security (CIS)
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Abstract
Music is like a mirror, reflecting the changes of human society. From the perspective of people, music, time, and society, this paper constructs the artist influence model, music correlation model, and music dynamic black-box model. Initially, this paper build the artist influence model. The model can visualize the influence of each music artist, to judge and compare the influence of music artists. According to the model, it is concluded that the three most influential musicians are The Beatles, Bob Dylan, and The Rolling Stones. Then, the paper constructs the music correlation model. The model can infer the similarity between a piece of certain music and various music types. Using this model to analyze the data, this paper concludes that the creation of music may be affected by various music genres, to drive the creation and innovation of music. After adding time components, the model concludes that the characteristic value of music every decade should be determined by the musician with the greatest influence in each period. Using the model to get the data, and through the Pearson correlation coefficient test, a very significant value is obtained, and the correlation coefficient is 0.9967.
The three most influential musicians are The Beatles, Bob Dylan, and The Rolling Stones, and the creation of music is influenced by various genres and time periods, with the most influential musician determining the characteristic value of music each decade.
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