Kavli Affiliate: Lihong Wang
| First 5 Authors: Xuan Zhang, Tingdi Ren, Lihong Wang, Haiyong Xu,
| Summary:
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.
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