摘要
文章基于社交网络用户行为影响因素框架形成需求动机维度的22个标签,结合用户特征维度的8个标签形成大学生社交网络行为标签体系。采用社会调查方法获取标签数据,通过因子分析提取出需求动机维度的4个分类特征因子。基于所提取的特征因子进行快速聚类,得到娱乐型、社交型、信息型和全面型4个差异化群体用户分类,并结合用户特征维度的8个标签对各类用户画像的典型特征进行描述。
To reveal the social network behavior characteristics of college students in multi-dimension,this paper forms 22 Tags of demand motivation dimension based on the framework of influencing factors of social network user behavior to form a tag system for college students with 8 Tags of user characteristics dimension.Social survey has been used to obtain label data of college students and four classified feature factors of demand motivation dimension has been extracted with factor analysis.Fast clustering based on the extracted feature factors is used to get four different groups of user's classification:entertainment type,social type,information type and comprehensive type.And the typical features of various user portraits are described with 8 Tags of user feature dimension.
作者
叶凤云
邵艳丽
YE Feng-yun;SHAO Yan-li(School of Management, Anhui University, Hefei 230601, China)
出处
《大学图书情报学刊》
2021年第1期50-57,共8页
Journal of Academic Library and Information Science
基金
2019安徽省哲学社会科学规划项目“安徽青少年移动社交媒体错失焦虑症的测度与影响研究”(AHSKY2019D068)。
关键词
社交网络
大学生
标签体系
聚类
行为画像
social media
college student
label system
clustering
behavioral portrait
