Zirong Wang1, Shunhui Luo2, Yanze Wang3
1School of Reliability and System Engineering, Beihang University, Beijing, China
2School of Economics and Management, Beihang University, Beijing, China
3School of Mathematical Sciences, Beihang University, Beijing, China
Whether in ancient or modern, as a way to cultivate sentiment, and relax the mind, music has been with mankind for a long time. With time going by, music is changing, people's creation and research on music is becoming more and more meticulous, and the major genres learn from each other. There are many factors that can influence artists when they create a new piece of music, including their innate ingenuity, current social or political events, access to new instruments or tools, or other personal experiences. Our goal is to understand and measure the influence of previously produced music on new music and musical artists. In the following report, we use four data sets collected from the ICM Association to quantitatively analyze the evolution of music over the past 90 years. By considering networks of songs and their musical characteristics, we have captured the influence that musical artists have on each other. And we also gain a better understanding of how music evolves through societies over time.
Data analysis, PCA, Cluster analysis, Music influence and similarity model
Zirong Wang, Shunhui Luo, Yanze Wang. A study on the evolution and influence of music from the perspective of data in the last hundred years. Academic Journal of Humanities & Social Sciences (2021) Vol. 4, Issue 3: 97-112. https://doi.org/10.25236/AJHSS.2021.040319.
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