"音乐世界的演变与影响：基于数据驱动方法的分析与研究"

The MCM/ICM team, with control number 2125654, chose to tackle the intricacies of the music industry in the 2021 competition. Through the analysis of data provided by Spotify's API, they delved into the relationships between songs, artists, and genres, aiming to uncover how influence molds the ever-evolving landscape of music. The team employed a diverse array of data-driven techniques, including the development and testing of similarity metrics, the use of neural networks to compare influencers and followers, and the utilization of statistical charts such as line graphs and bar graphs to depict overarching trends across time and genres. Their research also delved into the development and testing of neural networks to classify artists' music into specific genres, enabling them to identify global trends in music feature indicators and genre characteristics. Despite the depth of their analysis, the team acknowledged that the efficacy of their program heavily relied on the quality of the dataset provided and the accurate processing and interpretation of the data. Through their comprehensive investigation, the team gained valuable insights into the homogeneity of the music world, shedding light on the intricate web of influences that shape the music industry.