Music is an important part of the spiritual home of human beings, and it influences every generation with its own unique advantages. This paper explored the influence of music through the establishment of a directed network of music influence and a similarity measurement model, studied the evolution of music, and analyzed the influence process of the evolution. The research in this article explained the influence of music, the influence relationship between musicians and the evolution of music, which could make music develop better. We needed to solve the problems of artist similarity, genre similarity, and musical feature appeal. In this regard, we built a similarity evaluation model, read the music data set, and selected data for the indicators. We used principal component analysis to reduce the dimensionality of the index data, and then calculated the similarity based on Euclidean distance. For artist similarity, we divided it into the same genre and different genres, and we calculated that artists of the same genre were more similar than artists of different genres. For genre similarity, we calculated and drew a heat map of genre similarity. For the appeal of music features, we calculated the correlation between each feature and the popularity index based on the gray correlation analysis, and concluded that valence is the most infectious. This paper made full use of the music data obtained, described and quantified the influence of music from multiple aspects. The model in this paper is reasonable and realistic. The model can also be used to measure the impact of other occupations in society, and has a certain generalization.

Zhen Xiong, Chao Li, Junkang Jiang, Caiying Zhou, Qiang Wang. Research on Music Influence Evaluation System Based on Similarity Measure and Grey Relational Analysis. Frontiers in Art Research (2021) Vol. 3, Issue 2: 60-64. https://doi.org/10.25236/FAR.2021.030212.

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