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Study on the Monitoring and Guidance of Public Opinion of Micro-Blog Based on Complex Network in Colleges and Universities
Science Discovery
Volume 5, Issue 7, December 2017, Pages: 509-514
Received: Dec. 27, 2017; Published: Dec. 28, 2017
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Authors
Gao Weimin, Computer and Information Science Department, Hunan Institute of Technology, Hengyang, China
Chang Yunjie, Computer and Information Science Department, Hunan Institute of Technology, Hengyang, China
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Abstract
With the advent of the information age, the Internet has become the most important platform for people to express their opinions and attitudes toward public affairs or hot emergencies. Micro-blog public opinion has become the most influential network of public opinion of the means of transmission, with a short time, a wide range of communication features. Based on the analysis of complex network characteristics and network public opinion, this paper analyzes the complex network topological properties of complex network using the statistical properties of complex networks, the number of nodes, the point intensity and the average weighted clustering coefficient. Choosing "heat" and "situation" "And other indicators and node number, degree distribution and average weighted clustering coefficient of these three complex network parameters to achieve one-to-one mapping, and network life cycle of public opinion four-stage characteristics of building an emergency network public opinion monitoring and guidance model, public opinion real-time Monitoring, to determine the appropriate public opinion to guide the strategy. The actual public opinion monitoring and guidance through actual cases and real data verify the feasibility of the network public opinion monitoring and guidance model.
Keywords
University Micro-Blog Public Opinion, Complex Network, Monitoring and Guidance
To cite this article
Gao Weimin, Chang Yunjie, Study on the Monitoring and Guidance of Public Opinion of Micro-Blog Based on Complex Network in Colleges and Universities, Science Discovery. Vol. 5, No. 7, 2017, pp. 509-514. doi: 10.11648/j.sd.20170507.16
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