Research on the Inheritance of Music Education based on Information Network

Based on the perspective of mathematics, this article explores the education and influence of early music and musicians on young musicians by constructing a music influence network, thereby revealing the connotation of music education. For junior musicians, this article first collects data on "teachers" and "students" in the music industry, and builds an Internet of targeted influencers and followers. Then build a gray comprehensive evaluation model, consider these indicators to quantify the musical influence of musicians, reflecting their level of education for the younger generation of musicians. In order to further elaborate on the impact of music education on the younger generation of musicians, this paper selects ten characteristics that measure different characteristics. Perform follow-up analysis of music style, analyze the connotation of music education from the perspective of genres and individuals. For personal characteristics and genre characteristics, we use discrete analysis to establish a personal music similarity model, and use linear regression to establish a music genre similarity model. In order to deeply explore the influence of music education on music genres, this article discusses the changes of pop/rock style over time, music characteristics, music changes and music purity from three aspects. By analogy with the concepts of genetic purity and natural inheritance, a genetic model of the purity of music education was established. Finally, the degree of doping of music genres is regarded as an important indicator reflecting the "education" of other music genres.