Early-warning Model for Undergraduate Public Opinion with Dynamic Evolution
Li Chuan1,2,Zhu Xuefang1(),Fu Ziyuan1
1School of Information Management, Nanjing University, Nanjing 210023, China 2School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu 233030, China
[Objective] This paper tries to examine the social evolution analysis and System Dynamics for early warning strategies of undergraduates’ public opinion administration. [Methods] We conducted system analysis for public opinion based on user behavior theory. We analyzed the mechanism among undergraduates, official institutions, Internet environment, public opinion elements and social media with System Dynamics (SD). Finally, we built a new SD model for the early warning system of public opinion. [Results] We evaluated our model with three simulation experiments. The influence range of control elements was verified, while the control effect of credibility was falsified. Compared with other fuzzy cognitive models, our algorithm’s ACR increased by 1.4% and the CPT reduced by 50%. [Limitations] Extracting related factors depends on the research object and environmental evolution, and our model needs to be continuously optimized in the future. [Conclusions] The proposed model creates an early warning mechanism for public opinion from the undergraduate communities.
李川, 朱学芳, 富子元. 基于动态演化的大学生网络舆情预警模型研究*[J]. 数据分析与知识发现, 2022, 6(8): 97-109.
Li Chuan, Zhu Xuefang, Fu Ziyuan. Early-warning Model for Undergraduate Public Opinion with Dynamic Evolution. Data Analysis and Knowledge Discovery, 2022, 6(8): 97-109.
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