Open AccessInfluence Analysis in Music: Artists and Genres
Author(s) -
Naizheng Jia,
Dian Zu,
Boyu Jia
Publication year - 2021
Publication title -
journal of innovation and social science research
Language(s) - English
Resource type - Journals
ISSN - 2591-6890
DOI - 10.53469/jissr.2021.08(07).36
Subject(s) - civilization , popular music , feature (linguistics) , influencer marketing , computer science , art , visual arts , linguistics , history , philosophy , archaeology , marketing , relationship marketing , business , marketing management
Music is an important part of human civilization, which is accompanied by the emergence and development of human civilization. While music is developing, different genres of music or musicians’ styles are all influencing each other. Therefore, it is significant to understand and measure the influence of music influencers and their followers in different genres of music with social development. Address to identify the influence network of American music, firstly, a PageRank model was proposed to calculate the music influence of every artist among the network. According to the results, we built the subnetworks to illustrate the influence of different sets. Then, we did research on distinguishing between genres, which utilized the random forest classifier. Furthermore, Gini impurity is used to demonstrate the feature's importance. Our result shows that Pop is the best influential genre, and acousticness is the most distinguishing feature.