Identifying Network Public Opinion Leaders Based on Markov Logic Networks
Joint Authors
Zhang, Weizhe
He, Hui
Li, Xiaoqiang
Wang, Xing
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-01
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhang, Weizhe& Li, Xiaoqiang& He, Hui& Wang, Xing. 2014. Identifying Network Public Opinion Leaders Based on Markov Logic Networks. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1048982
Modern Language Association (MLA)
Zhang, Weizhe…[et al.]. Identifying Network Public Opinion Leaders Based on Markov Logic Networks. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1048982
American Medical Association (AMA)
Zhang, Weizhe& Li, Xiaoqiang& He, Hui& Wang, Xing. Identifying Network Public Opinion Leaders Based on Markov Logic Networks. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1048982
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048982