Author(s)

Wanqi Lu, Chaoran Sun, Yuchen Cao

Corresponding Author

Wanqi Lu

ABSTRACT

It is necessary to analyze the factors that influence the creation of musicians. Regarding the long history of music development, a single music artist may seem insignificant, but it may be a turning point in the entire history of music development, which contains inextricable connections. we firstly used data mining techniques to find out the most influential artists, and then used python language to establish a network of the three most influential artists, relying on Network X package, based on the idea of graph theory. the sub-network of the analysis graph network can clearly show the influence of these three artists. The pearson correlation coefficient is used to develop a music similarity measurement model, and then a heat map is made to directly reflect the relationship between genres and genres.

KEYWORDS

Data Analysis, Grey relational grade, Analytic Hierarchy Process, Principal Component Analysis, Data visualization