Early-warning Model for Undergraduate Public Opinion with Dynamic Evolution

被引：0
|
作者：
Li C. [1 ,2 ]
Zhu X. [1 ]
Fu Z. [1 ]
机构：
[1] School of Information Management, Nanjing University, Nanjing
[2] School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu
来源：
Data Analysis and Knowledge Discovery | 2022年 / 6卷 / 08期
关键词：
Forewarning Analysis; Public Opinion for Undergraduates; Simulation Experiment; System Dynamics;
D O I：
10.11925/infotech.2096-3467.2021.1266
中图分类号：
学科分类号：
摘要：
[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. © 2022, Chinese Academy of Sciences. All rights reserved.
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页码：97 / 109
页数：12
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