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The Scientific World Journal
Volume 2014 (2014), Article ID 268592, 8 pages
Research Article

Identifying Network Public Opinion Leaders Based on Markov Logic Networks

School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China

Received 20 January 2014; Accepted 26 February 2014; Published 1 April 2014

Academic Editors: T. Cao and F. Yu

Copyright © 2014 Weizhe Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.