2022/04/07 by Xuan Zhang, Tingdi Ren, Zhang, Xuan +5
Computer Science · Physics and Astronomy · Social Sciences · #Applications (stat.AP) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Music and Audio Processing #Opinion Dynamics and Social Influence
paper · pdf · doi:10.48550/arxiv.2204.03588
openalex publication_date 2022/04/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Studying the history of music may provide a glimpse into the development of human creativity as we examine the evolutionary and revolutionary trends in music and genres. First, a musical influence metric was created to construct a directed network of musical influence. Second, we examined the revolutions and development of musical genres, modeled the similarity, and explored similarities and influences within and between genres. Hierarchical cluster analysis and time series analysis of genres were used to explore the correlation between genres. Finally, Network Analysis, Semantic Analysis, and Random Forest Model are employed to find the revolutionaries. The above work was applied to Country music to sort out and analyze its evolution. In studying the connection between music and the social environment, time series analysis is used to determine the impact of social, political, or technological changes on music.