Author(s)

Jiaqi Zhao, Xinran Xu and Yiping Yang

Corresponding Author

Jiaqi Zhao

ABSTRACT

Music is a great part of human civilization whose spread and interactions between music play an important role in the development of music. In this paper, we analyze the influences and similarities within and between musical art genres through our dynamic development model of a musical double-layer influence network. It is important for analyzing the development of musical genres. In this paper, firstly, the double-layer network structure is divided into inner layer and outer layer, and point-to-point simplified form is used to study the music influence of point-to-point. Then the artists are divided into different schools, the mean and variance of different music characteristics of different schools are calculated, and the "music appeal" of different music characteristics within and between different schools is analyzed. At the same time, this paper analyzes the similarity of music data, uses ANOSIM to analyze the meaning of differences between categories, and establishes a feature similarity model. Artists and genres are regarded as vectors in multi-dimensional space respectively, and the normalized music feature index is taken as the coordinates of different dimensions. The similarity matrix of artist-artist, influencer-follower, independent artist and school-school is established. The three-dimensional similar scatter diagram is drawn and the relationship between different schools is analyzed.

KEYWORDS

Music influence, MIDEIN, peer to peer, Similarity analysis