Tracking the evolution of public concerns in social media

Authors:
Lei Deng;Bingying Xu;Lumin Zhang;Yi Han;Bin Zhou;Peng Zou
Affiliations:
National University of Defense Technology, Changsha, China;National University of Defense Technology, Changsha, China;National University of Defense Technology, Changsha, China;National University of Defense Technology, Changsha, China;National University of Defense Technology, Changsha, China;National University of Defense Technology, Changsha, China
Venue:
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Year:
2013

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Abstract

Microblogging is becoming a popular social media in recent years. Observations show that a large part of posts in microblogging were talking about public events occurred in the real world. Public concerns reflect interests and expectations of the mass for an event. Therefore, to understand and analyze of public concerns will help us to grasp an event, and predict its trend. This paper presents an evolution analysis method of public concerns for a special kind of post in microblogging, which can provides sufficient background information about an event by its attachments, e.g. a URL for details, a picture, or a video, etc. we called it expandable post. We use expandable posts to reconstruct the topic space. Their reposts are regarded as public concerns, and are located on the space. Thus, the task of tracking public concerns is transformed into tracking the movement of those reposts, and analyzing the relationships between them and their corresponding expandable posts on the topic space. The preliminary experiments on our dataset about H7N9 bird flu collected from Weibo, shows the effectiveness of our method.