Author(s)

Jie Xiang ¹, Yi Wu ¹, Qian Gong ¹

Affiliation(s)

¹ School of Science, Hangzhou Normal University, Hangzhou, Zhejiang, 311121

Corresponding Author

Jie Xiang

ABSTRACT

In order to quantify the development of music, the paper have constructed a new model framework DSIS (Directional Network, Similarity, Infectiousness, SMT) to solve several problems about music. First of all, the directional network model and subnet model are established, and it is found that the influence of music reveals that music can be handed down from generation to generation, and artists do not always act as followers of a certain school, but also become influencers of different schools. Then 14 indexes are summed up into 5 comprehensive indexes by SPSS factor analysis, and Python is used to calculate the schools of ID in "FULL_MUSIC_DATA" data according to "influence data". Then, the Matlab grey relational analysis is used to compare the similarity, and finally it is concluded that the similarity within the artist genre may not be higher than that between the artists.

KEYWORDS

DSIS, Directional network, Factor analysis, Grey relational analysis

CITE THIS PAPER

Jie Xiang, Yi Wu, Qian Gong. Research on Music Influence Based on Directional Network Model and Similarity Model. Art and Performance Letters (2021) 2: 100-104. DOI: http://dx.doi.org/10.23977/artpl.2021.23020

REFERENCES

[1] Yang Sitan. The rise and social influence ofAmerican rock music [J].Yihai, 2018(07): 48-50.
[2] Zhang Tao, Zhao Pu. Exploring the Origin of Rhythmic Blues(R& B) Music [J]. Journal of Shangqiu Teachers College, 2006(06): 153-154.
[3] Mark Vinet, Evolution of Modern Popular Music, A History of Blues, Jazz, Country, R&B, Roack and Rap, p.57.
[4] https://baike.so.com/doc/3086341-3253014.html.
[5] Li Chonghao. A Study of Popular Music in Europe and America [J]. Art Criticism, 2018(24): 10-11+20.

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