Mining Users for Organizations on Micro-blogs
This paper focuses on detecting relevant real-world users of organizations in micro-blogs.Many organizations and individuals choose to publish posts on microblogs.As the virtual social network may possibly be influenced by accounts real world social ties,it’s feasible to detect the user groups that have strong connections to organizations.In this paper,we propose a community-detection based method to discover the real world members of organizations on micro-blogs.In order to find the most relevant user groups,we also define ranking score for each user.Experiments show that,the top ranked users of each community is crucial for distinguishing the most relevant groups.
Micro-blog Community Detection User Analysis Organization
Zhenhua Zhang Ruifang Liu WeiRan Xu
Beijing Univversity of Posts and Telecommunications
国际会议
北京
英文
41-44
2013-03-14（万方平台首次上网日期，不代表论文的发表时间）