Skip to main content
Article thumbnail
Location of Repository

How Shall We Catch People’s Concerns in Micro-blogging?

By Heng Gao, Qiudan Li, Hongyun Bao and Shuangyong Song


In micro-blogging, people talk about their daily life and change minds freely, thus by mining people’s interest in micro-blogging, we will easily perceive the pulse of society. In this paper, we catch what people are caring about in their daily life by discovering meaningful communities based on probabilistic factor model (PFM). The proposed solution identifies people’s interest from their friendship and content information. Therefore, it reveals the behaviors of people in micro-blogging naturally. Experimental results verify the effectiveness of the proposed model and show people’s social life vividly

Year: 2012
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • http://www2012.wwwconference.o... (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.