Examining Multi-factor Interactions in Microblogging Based on Log-linear Modeling

被引:4
|
作者
Luo, Zhilin [1 ,2 ]
Wu, Xintao [2 ]
Cai, Wandong [1 ]
Peng, Dong [1 ]
机构
[1] Northwestern Polytech Univ, Sch Compute Sci, Xian, Peoples R China
[2] Univ N Carolina, Software & Informat Syst Dept, Chapel Hill, NC 27515 USA
来源
2012 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM) | 2012年
基金
美国国家科学基金会;
关键词
D O I
10.1109/ASONAM.2012.41
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Microblogging, as a new form of social media, attracts a huge number of users and becomes very popular. In this paper, we consider a fundamental social network issue that illustrates how information flows through a social media network and specify why users have different retweet behaviors. We propose to characterize social ties by using various features such as power ratio, local link structure, location, and gender. Those features can be directly extracted from users' profiles in Microblogging sites. We apply a fitted Log-linear model to describe association patterns among the features and retweet factor. Using the fitted Log-linear model, we explain why users with different profiles and link structures have different retweet behaviors. Our evaluations on Sina Weibo data set show several phenomenons.
引用
收藏
页码:189 / 193
页数:5
相关论文
共 50 条