摘要
分析比较新浪和腾讯微博网站的特点,对其内容变量、转发和评论数以及发博途径进行实证分析;对转发数和评论数、粉丝数、关注数和博文数,分组进行两两比较,利用SPSS统计软件,采用相关分析等方法,统计分析每个微博网站的用户关系和行为特征,研究发现转发数和评论数、粉丝数、关注数和博文数,每组数据两两之间,都具有一定的正相关性,认为影响和制约微博信息传播的基本要素有两点,一是用户本身的人际关系社会网络;二是微博信息。为微博网站的用户行为特征和信息传播机制研究提供理论依据。
The paper makes a comparative analysis of the basic structure, contents, as well as laws of information dissemination on Tencent and Sina micro-blogs. By file means of statistical analysis, it discusses the behavior and relation characteristics of micro-blog users, and then shows that every two relevant variables of the influences of micro-blog have some positive correlation with one another. It is found that the social network relationships of micro-blog users and micro-blog information have a significant influence on laws of information dissemination. So the paper can provide a theoretical basis for discovering general laws of micro-blog users＂ communication and information transmission.
出处
《情报杂志》
CSSCI
北大核心
2012年第3期77-83,69,共8页
Journal of Intelligence
关键词
微博
用户关系
行为特征
统计学
Miemblogging user relation behavior characteristics statistics
