Music Influence Modeling Based on Directed Network Model

TL;DR

This paper constructs a directed network model to analyze musical influence, genre evolution, and social impacts, using various analytical methods on Country music as a case study.

Contribution

It introduces a novel influence metric and combines multiple analytical techniques to study music evolution and influential figures within a network framework.

Findings

Identified key revolutionaries in Country music

Mapped genre similarities and influences over time

Linked social changes to musical evolution

Abstract

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.