Identifying Network Public Opinion Leaders Based on Markov Logic Networks
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 da...
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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/268592 |
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author | Weizhe Zhang Xiaoqiang Li Hui He Xing Wang |
author_facet | Weizhe Zhang Xiaoqiang Li Hui He Xing Wang |
author_sort | Weizhe Zhang |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-59c10d52e1854f878fac8ee89c282f2d |
institution | Kabale University |
issn | 2356-6140 1537-744X |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | The Scientific World Journal |
spelling | doaj-art-59c10d52e1854f878fac8ee89c282f2d2025-02-03T06:14:00ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/268592268592Identifying Network Public Opinion Leaders Based on Markov Logic NetworksWeizhe Zhang0Xiaoqiang Li1Hui He2Xing Wang3School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, ChinaPublic 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.http://dx.doi.org/10.1155/2014/268592 |
spellingShingle | Weizhe Zhang Xiaoqiang Li Hui He Xing Wang Identifying Network Public Opinion Leaders Based on Markov Logic Networks The Scientific World Journal |
title | Identifying Network Public Opinion Leaders Based on Markov Logic Networks |
title_full | Identifying Network Public Opinion Leaders Based on Markov Logic Networks |
title_fullStr | Identifying Network Public Opinion Leaders Based on Markov Logic Networks |
title_full_unstemmed | Identifying Network Public Opinion Leaders Based on Markov Logic Networks |
title_short | Identifying Network Public Opinion Leaders Based on Markov Logic Networks |
title_sort | identifying network public opinion leaders based on markov logic networks |
url | http://dx.doi.org/10.1155/2014/268592 |
work_keys_str_mv | AT weizhezhang identifyingnetworkpublicopinionleadersbasedonmarkovlogicnetworks AT xiaoqiangli identifyingnetworkpublicopinionleadersbasedonmarkovlogicnetworks AT huihe identifyingnetworkpublicopinionleadersbasedonmarkovlogicnetworks AT xingwang identifyingnetworkpublicopinionleadersbasedonmarkovlogicnetworks |