论文标题
音乐影响建模基于定向网络模型
Music Influence Modeling Based on Directed Network Model
论文作者
论文摘要
当我们研究音乐和流派的进化和革命趋势时，研究音乐的历史可能会瞥见人类创造力的发展。首先，创建了一个音乐影响力指标，以构建有指导的音乐影响网络。其次，我们研究了音乐流派的革命和发展，建立了相似性的建模，并探讨了类型之间和之间的相似性和影响。使用类型的分层聚类分析和时间序列分析来探索类型之间的相关性。最后，采用网络分析，语义分析和随机森林模型来找到革命者。 以上作品已应用于乡村音乐，以整理和分析其进化。在研究音乐与社会环境之间的联系时，时间序列分析用于确定社会，政治或技术变化对音乐的影响。
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.
