摘要
目的/意义:分析了国内三个听歌软件上排行各前20名的歌单的社会网络图,由三个听歌软件中歌曲的社会网络图可以了解当下哪些歌曲比较流行,方便听众快速选择出当下比较流行的歌曲和听歌软件更有效率的购买符合目前大致口味的歌曲。方法/过程:文中采用了社会网络分析和Pajek可视化工具,将三个软件中排名各前20名的歌单进行统计,排除重复歌曲共有38首歌曲,做成矩阵进行Pajek分析,构建了2模的社会网络图。结果/结论:酷我音乐较其他两个听歌软件来说选择推送的歌曲更加符合大众选择,与其他听歌软件推送歌曲的连通性也较高。
Objective/significance： this paper analyzes the social network of the top 20 singles in the three music software in China, from which we can know the popular songs, thus the users can quickly choose the current popular songs and the music software can buy the songs in line with the current general taste efficiently. Method/process： with social network analysis and Pajek visualization tools, the top 20 singles in the three software are summarized, excluding a total of 38 repeated songs, and made matrix for Pajek analysis. A 2 model of the social network map is built. Results/Conclusion： Kuwo music is better than the other two software in pushing favorite songs to users, and has higher connectivity with other music software＇s pushing.
出处
《价值工程》
2017年第33期170-172,共3页
Value Engineering
关键词
听歌软件
流行歌曲
社会网络分析
music software
popular songs
social network analysis
