针对音乐影响的社会网络分析和相似性进行研究，首先选取相关数据，综合使用社会网络分析理论、广度优先搜索、因子分析等方法进行建模；然后运用Matlab、Python等软件编程求解，充分利用所获得的音乐数据，从多个方面对音乐的影响力进行了统计描述和量化分析；最后构建了一个合理的、符合实际的衡量音乐影响力的模型，来审视艺术家和流派的进化和发展趋势。研究得出各流派音乐家之间的互相影响会对音乐的变化方向产生关键性影响，同时模型对其他职业的社会影响具有一定的泛化性。

For the social network analysis and similarity study of music influence, in this paper relevant data was selected, social network analysis theory, breadth-first search, factor analysis and other methods were comprehensively used for modeling. Then, Matlab, Python and other software were used to program and solve the problem, fully utilizing the obtained music data to describe and quantify the impact of music from multiple aspects. Finally, a reasonable and realistic model for measuring the influence of music was established to examine the evolution and development trend of artists and genres. Research has shown that the interactions between musicians of various genres will have a critical impact on the direction of change of music, and at the same time, the model has a certain degree of generalization on the social impact of other professions in society.