专题:社交媒体群体行为演化与治理

超网络构建视角下的微博群体内认知冲突测度研究

  • 沈旺 ,
  • 田聪淼 ,
  • 李欣 ,
  • 刘嘉宇
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  • 吉林大学商学与管理学院 长春 130012
沈旺,教授,博士,博士生导师;田聪淼,硕士;李欣,硕士研究生,通信作者,E-mail:lxin202408@163.com;刘嘉宇,助理研究员,博士。

收稿日期: 2024-11-27

  修回日期: 2025-02-25

  网络出版日期: 2025-11-20

基金资助

本文系国家自然科学基金青年科学基金项目“基于复杂系统层次演化的社交媒体群体行为演化机制及特殊行为群体发现研究”(项目编号:72304111)和吉林省科技发展计划项目“数智赋能下吉林省冰雪旅游大数据资源集成与决策支持平台建设”(项目编号:20220203176SF)研究成果之一。

Research on the Measurement of Intra-Group Cognitive Conflict on Microblogs from the Perspective of Hypernetworks

  • Shen Wang ,
  • Tian Congmiao ,
  • Li Xin ,
  • Liu Jiayu
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  • School of Business and Management, Jilin University, Changchun 130012
Shen Wang, Professor, PhD, Doctoral Supervisor; Tian Congmiao, Master’s Degree; Li Xin, Master’s Candidate, Corresponding Author, E-mail: lxin202408@163.com; Liu Jiayu, Assistant Research Fellow, PhD.

Received date: 2024-11-27

  Revised date: 2025-02-25

  Online published: 2025-11-20

Supported by

This work is supported by the youth project of National Natural Science Foundation of China, titled “ Research on the Evolutionary Mechanism of Social Media Group Behavior and the Discovery of Special Behavior Groups Based on System Hierarchy Evolution ”(Grant No. 72304111), Jilin Province Science and Technology Development Plan titled “ Construction of Integrated Big Data Resources and Decision Support Platform for Ice and Snow Tourism in Jilin Province under the Empowerment of Digital intelligence” (Grant No. 20220203176SF).

摘要

[目的/意义] 基于超网络描述和揭示微博用户群体的复杂关系,测度群体内认知冲突,不仅为认知冲突的量化研究提供新视角,还可以为有关部门和平台提供有效识别群体内认知冲突的工具,以预防大规模舆情危机的爆发。[方法/过程] 通过分析微博平台中舆情事件的形成过程,构建包含“社交—时序—观点”3层子网的超网络模型,提出基于超边的认知冲突计算方法。根据“日本核污染水首轮排海”舆情事件中群体发布的相关数据验证提出模型和方法的可行性。[结果/结论] 构建的群体内认知冲突测度超网络模型和基于超边的认知冲突计算方法能有效测度微博平台中的群体内认知冲突。

本文引用格式

沈旺 , 田聪淼 , 李欣 , 刘嘉宇 . 超网络构建视角下的微博群体内认知冲突测度研究[J]. 图书情报工作, 2025 , 69(23) : 4 -19 . DOI: 10.13266/j.issn.0252-3116.2025.23.001

Abstract

[Purpose/Significance] By describing and revealing the complex relationships within microblog user groups based on the hypernetworks, and measuring intra-group cognitive conflicts, this study not only provides a new perspective for the quantification of cognitive conflicts but also offers tools for relevant departments and platforms to effectively identify intra-group cognitive conflicts and prevent the outbreak of large-scale public opinion crise. [Method/Process] By analyzing the formation process of public opinion events on microblog platforms, a hypernetwork model comprising three sub-networks of social, temporal, and opinion layers was constructed, and a method for calculating cognitive conflicts based on hyperedges was proposed. The feasibility of the proposed model and method was verified based on data related to group publications during the public opinion event of “Japan’s initial discharge of contaminated water into the sea.” [Result/Conclusion] The constructed hypernetwork model for measuring intra-group cognitive conflicts and the cognitive conflict calculation method based on hyperedges can effectively measure intra-group cognitive conflicts on microblog platforms.

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