Emerging Topic Detection in Online Social Networks: A Survey
GOU Chengcheng1,2, DU Pan1, LIU Yue1, CHENG Xueqi1
1. CAS Key Lab of Network Data Science and Technology,Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China2. University of Chinese Academy of Sciences, Beijing 100190, China
Abstract：Emerging topic detection is one of the major research focus in Social Network Analysis. The openness of social networks, microblog in particular, provides unprecedented favorable conditions on which the topics might rage and outbreak. The emerging topics are often accompanied by big news or events, which are about to outbreak and have a significant social impact. How to identify these topics in the early stages is the major research content of the emerging topic detection. The main developments in the field of the emerging topic detection in the recent years are reviewed and the relevant concepts, methods and theory are elaborated. The methods of the emerging topic detection are analyzed and discussed form the perspective of the content bursty feature and information diffusion models. Finally we conclude the paper with an exploration of future research directions.
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2016, Vol. 30 
