摘要
微博作为近年最受关注的社交网络平台,在帮助用户建立关系时主要是通过显性的微博结构特征和隐性的用户推荐机制来实现。目前在基于微博结构特征构建用户关系时尚未进行科学的强弱关系分析和论证,处于随意取舍阶段。文章发现结合人际关系的传统分类(即地缘关系、学缘关系和业缘关系),通过因子分析找出强关系构建因子,在帮助用户拓展社交网络关系时有很好的参考意义和实践价值。
Microbtog is the most concern social network platform in recent years. To help users establish relations is mainly through the dominant microblog structure characteristics and recessive user recommendation mechanism. At present, there haven't been scientifically analyzed for the strength of the relationship. Based on the interpersonal relationship of traditional classification (i. e., geopolitical relations, learn border relations, and industry border relationship), and by the factor analysis, the paper finds the strong relationship factor, Which is helpful and practical for users to expand social network relation.
出处
《图书馆学研究》
CSSCI
北大核心
2013年第3期58-63,共6页
Research on Library Science
关键词
微博
用户关系
显性结构
强关系
microblog customer relationship dominant structure strong relationship