Abstract
From ancient times to the present, music has been a special way of human information transmission. First, analyze and establish The Information Network Model Based on Knowledge Graph from the three levels of macro, micro, and middle levels, with genres and artists as the main objects, and use multiple linear regression to establish a Solving model of Music Influence: mg = 0.857123ng + 0.142877bg. The Music Influence index obtained by this model reflects the comprehensive influence ability of the artist's influence on the population and the breadth of genres. Additionally, using Canonical Correlation analysis to establish a similarity measurement model. Using the Pearson correlation coefficient, the analysis of artists within the genre and the artists between the genres found that the similarity of artists of the same genre is high and stable, and the similarity of artists of different genres is low. Comparing an artist from two artists in another genre, the results are closer.
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