| 张志霞,张俞.基于用户心理特征的双微耦合网络舆情演化模型[J].情报工程,2023,9(3):114-126 |
| 基于用户心理特征的双微耦合网络舆情演化模型 |
| Public Opinion Evolution Model of Dual Micro-coupling Network Based on User’s Psychological Characteristics |
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| DOI：10.3772/j.issn.2095-915X.2023.03.010 |
| 中文关键词: 网络舆情；SEI2R；双微耦合网络；用户心理特征 |
| 英文关键词: Internet public opinion; SEI2R; Double micro-coupled network; User psychological characteristics |
| 基金项目:陕西省自然科学基金“基于用户画像的社交媒体耦合网络舆情演化及预警机制研究”（2022JM-416）。 |
| 作者 | 单位 | | 张志霞 | 西安建筑科技大学管理学院 西安 710055 | | 张俞 | 西安建筑科技大学管理学院 西安 710055 |
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| 中文摘要: |
| [ 目的/ 意义] 利用传染病模型构建基于用户心理特征的双微耦合网络舆情演化模型，为网络舆情的危机应对和正确引导提供参考。[ 方法/ 过程] 选用微博微信社交平台构建双微耦合网络，利用改进传染病模型模拟网络舆情在双微耦合网络中横纵向传播过程，通过仿真实验分析基于用户心理特征的双微耦合网络舆情演化机理。[ 局限] 在案例选取和数据处理方面还有一定局限。[ 结果/ 结论] 仿真实验发现耦合作用能加速舆情传播，控制舆情传播要求对双微平台同时采取措施。猎奇心理对用户舆情传播影响较小，权威效应提高会使网络中传播者下降3%，从众心理过大会导致传播者数量增加6%。改进SEI2R 构建的舆情演化模型能够有效揭示社交媒体耦合网络舆情演化机制及用户心理特征对舆情演化的影响，可为相关部门舆情预防和控制提供参考。 |
| 英文摘要: |
| [Objective/Significance] This paper constructs a double micro-coupling network public opinion evolution model based on the users’ psychological characteristics by using the epidemic model, which provides a reference for the crisis response and correct guidance of the network public opinion. [Methods/Processes] Using the social platform of micro-blog and wechat to build a dual micro-coupling network, the paper simulates the process of public opinion spreading in the dual micro-coupling network by using the improved epidemic model the evolution mechanism of public opinion in dual micro-coupling network based on users’ psychological characteristics is analyzed through simulation experiments. [Limitations] there are limitations in case selection and data processing. [Results/Conclusions] The simulation results show that the coupling effect can accelerate the public opinion communication, and the control of public opinion communication requires taking measures to dual micro-platforms at the same time. The psychology of novelty-seeking has little influence on the communication of users’ public opinion. The increase of authority effect will cause the number of disseminators to drop by 3%, while the increase of Crowd psychology will cause the number of disseminators to increase by 6%. The improved SEI2R model can effectively reveal the evolution mechanism of online public opinion coupled with social media and the influence of users’ psychological characteristics on the evolution of public opinion. |
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