title: Identifying network public opinion leaders based on Markov Logic Networks.
abstract: Public opinion emergencies have important effect on social activities. Recognition of special communities like opinion leaders can contribute to a comprehensive understanding of the development trend of public opinion. In this paper, a network opinion leader recognition method based on relational data was put forward, and an opinion leader recognition system integrating public opinion data acquisition module, data characteristic selection, and fusion module as well as opinion leader discovery module based on Markov Logic Networks was designed. The designed opinion leader recognition system not only can overcome the incomplete data acquisition and isolated task of traditional methods, but also can recognize opinion leaders comprehensively with considerations to multiple problems by using the relational model. Experimental results demonstrated that, compared with the traditional methods, the proposed method can provide a more accurate opinion leader recognition and has good noise immunity.
authors: School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
authors: Weizhe
authors: W
authors: Zhang
authors: School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
authors: Xiaoqiang
authors: X
authors: Li
authors: School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
authors: Hui
authors: H
authors: He
authors: School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
authors: Xing
authors: X
authors: Wang
mesh_terms: D003198:Computer Simulation; D063045:Crowdsourcing / Q000379:methods* / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D020407:Internet / Q000706:statistics & numerical data*; D007857:Leadership; D016015:Logistic Models; D008390:Markov Chains; D010363:Pattern Recognition, Automated / Q000379:methods*; D011639:Public Opinion; D060756:Social Networking