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Research on Musical Changemakers based on Music Influence

To address the problem of how to identify musician changemakers, this paper proposes a comprehensive determination model based on musician influence and inverse influence depth. Among them, for musician influence, we introduce six sets of data describing music influence in different dimensions after establishing the influence network among musicians, using the Combination Weighting Algorithm to calculate music influence. For the inverse influence depth of musicians, we use the correlation between different musicians’ works and introduce the Mutation-Depth Discriminating Algorithm to jointly score with musicians’ influence. Finally, we get the musician changemakers and use them for practical testing.