Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (11): 3024-3030.doi: 10.23940/ijpe.19.11.p22.30243030

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Mining Key Users of Microblog Topics based on Trust Model

Guozhong Donga, Bei Lia, Xinhong Weia, and Tao Qinb,*   

  1. aDepartment of Computer and Data Science, Henan University of Urban Construction, Pingdingshan, 467036, China;
    bNational Computer Network Emergency Response Technical Team/Coordination Center of China, Beijiing, 100190, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: * E-mail address: qintao@cert.org.cn
  • About author:Guozhong Dong, Ph.D. is a lecturer at Henan University of Urban Construction. His main research interests include data mining and information security. (20171010@hncj.edu.cn)Bei Li, M.S. is a lecturer at Henan University of Urban Construction. Her main research interests include data mining and artificial intelligence. (85293782@qq.com)Xinhong Wei, M.S. is an associate professor at Henan University of Urban Construction. Her main research interests include data mining and computer networks. (29813257@qq.com)Tao Qin, M.S. (corresponding author) is a senior engineer at the National Computer Network Emergency Response Technical Team/Coordination Center of China. His main research interests include data mining and information security. (qintao@cert.org.cn)

Abstract: Microblog topics play an important role in public opinion. The effective identification of key users in microblog topics is key for microblog public opinion mining. In this paper, we select topic-related microblog messages based on topic features. Candidate key users are selected according to the microblog topic user graph and edge weight. Key users of microblog topics are ranked according to the users' trust values. Experiments on Sina microblog topic datasets show that our method can mine high quality key users that lead to the formation of microblog topics in the early stage.

Key words: trust model, microblog topics, key users mining