Applying Data Mining in Music influences analysis

Abstract

Nowadays, music has become an indispensable part of our life. Studying the influence and evolution process of music will help to promote the progress of human civilization. The purpose of this paper is to understand and measure the impact of previously produced music on new music and music artists, and to develop a model for measuring the impact of music. Taking music genre as the main body, this paper constructs a directional network of music influence and a sub-network reflecting the relationship between "influencer and follower". In addition, this paper also defines the influence of music, and puts forward the "contagiousness index" to reveal a person's actual influence. Finally, using the parallel coordinate characteristics, the paper analyzes the influence of music on culture in time or environment.