Research on SnCIR multi-opinion competitive communication model

Cheng’ai Sun, Caixia Jing, Xiaodan Zhou, Kun Li and Tangjun Li
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Cheng’ai Sun: School of Computer Science and Engineering, Shandong University of Science and Technology, 579 Qianwangang Road, Qingdao City, Shandong Province, China
Caixia Jing: School of Computer Science and Engineering, Shandong University of Science and Technology, 579 Qianwangang Road, Qingdao City, Shandong Province, China
Xiaodan Zhou: School of Computer Science and Engineering, Shandong University of Science and Technology, 579 Qianwangang Road, Qingdao City, Shandong Province, China
Kun Li: Jinan Wormhole Smart Home Facilities Co., Ltd, Jinan City, Shandong Province, China
Tangjun Li: School of Economics and Management, Shandong University of Science and Technology, 579 Qianwangang Road, Qingdao City, Shandong Province, China

International Journal of Modern Physics C (IJMPC), 2023, vol. 34, issue 10, 1-16

Abstract: The traditional public opinion dissemination model studies the dissemination of single opinion public opinion, while manual processing limits the division of multiple opinions, reducing the efficiency of public opinion dissemination. Therefore, combined with the topic recognition model, the SnCIR multi-opinion public opinion competition propagation model is constructed. The comparative experiment on the ca-GrQc dataset shows that the SnCIR model has a lower propagation density than the SCIR, SEIR and SIR models before the public opinion spreads stably. At the inflection point, SnCIR is 0.02 smaller than the SCIR model propagation density, 0.04 smaller than SEIR, and 0.65 smaller than SIR. Through the guidance of mainstream and official media, the management of the Weibo platform, and the government’s supervision, this paper studies the impact on the dissemination of network public opinion. Combined with the analysis of the evolution characteristics of the network public opinion situation, some countermeasures and suggestions are given, which provide management ideas for the response and governance of network public opinion in emergencies.

Keywords: Topic identification; weighted words; public opinion dissemination; multi-opinion public opinion competition (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0129183123501267

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