Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (12): 3099-3107.

### Semantic Fusion and Propagation Model for Internet Public Opinion Data in Big Data Environment

Pengju Wanga,*, Huifeng Xuea, Zhe Yub, and Feng Zhangc

1. aSchool of Automation, Northwestern Polytechnical University, Xi'an, 710072, China;
bInformation Comprehensive Office, Yan'an Municipal Committee, Yan'an, 719000, China;
cSchool of Information Engineering, Yulin University, Yulin, 719000, China
• Submitted on  ;  Revised on  ; Accepted on
• Contact: &#x0002A; E-mail address: 416848742@qq.com
• About author:<b>Pengju Wang</b> is received the MS degree in Computer science from Northwestern Polytechnical University in 2006. Now he is a PhD of Northwestern Polytechnical University. His research interests are in the areas of network public opinion analysis and data mining, the modeling of complex systems.<b>Huifeng Xue</b>, he was born in Shanxi Yuncheng on June 16, 1964, received the PhD degree in Water resource economics from Xi'an Polytechnic in 1995. He is currently a professor in Northwestern Polytechnic University. His research interests are in the areas of the modeling of complex systems, Simulation and performance evaluation, management, systems engineering, energy and environmental systems engineering, computer control, intelligent control, network control.<b>Zhe Yu</b> is received the MS degree in Chinese Language and Literature from Northwestern University in 2005. She is currently a deputy director of information comprehensive office of Yan'an municipal committee. Her research interests are in the areas of Public Opinion Data Analysis, Data Mining, and Complex System Modeling.<b>Feng Zhang</b> is received the MS degree in Computer science from Xidian University in 2009. Now he is a PhD of Northwestern Polytechnical University. He is currently a professor in Yulin University. His research interests are in the areas of Cloud integrated manufacturing technology, the modeling of complex systems, the Internet of Things applications.

Abstract: In order to improve the monitoring and early warning efficiency of network public opinion, and to reveal the spread of network public opinion, an evolution process model of public opinion in the Internet is proposed, It tries to analyze the evolution mechanism of network public opinion in the Internet, and provides certain theoretical support and method guidance for network public opinion monitoring and prediction. At the semantic level, the implementation method of knowledge fusion of different levels of public opinion information resources is proposed, which is supported by semantic technologies such as the semantic web in the big data environment. Then the multi-agent modeling and simulation method is used to establish the network public opinion information communication simulation model. The attributes of each participating entity were constructed in the model, and the influence of various factors on the network crisis information transmission was analyzed. The experimental results show that the proposed verification simulation model has high credibility. By analyzing the number of "opinion leaders" in the model, the participation of netizens, the credibility of the government, the speed of information disclosure and the transparency of the public, it can improve the monitoring and early warning efficiency of network public opinion, and better reveal the propagation law of network public opinion.