一个基于动态的多国家谣言传播模型,具有三重身份
Zhiqiang Su1, Ailian Wang2, Xuyang Gao1
1College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, 030024, China.
Scientific reports
|November 12, 2025
概括
这项研究引入了一种新的模型,以了解社交网络中的谣言传播动态. 有效的谣言控制器显著减缓传播,有助于危机管理.
科学领域:
- 社交网络分析 社交网络分析
- 信息动力学信息动力学
- 计算社会科学 计算社会科学
背景情况:
- 谣言传播是社交网络的一个重要问题,影响公共秩序.
- 了解谣言传播的复杂动态对于社会稳定至关重要.
研究的目的:
- 提出一种基于新动态的,具有三重身份的多州谣言传播模型.
- 分析个人角色和网络结构对谣言动态的影响.
- 评估谣言控制策略的有效性.
主要方法:
- 开发了一种包含不同个体身份 (出版商,控制者,参与者) 的多州谣言传播模型.
- 使用微分方程来描述个别状态过渡 (易受,潜伏,无知,恶意).
- 在真实社交网络数据上进行模拟实验.
主要成果:
- 个人身份和网络结构显著影响谣言传播模式.
- 谣言控制器有效地减轻了谣言传播的速度和范围.
- 观察到动态状态转换,包括恶意传播者状态.
结论:
- 拟议的模型为了解谣言传播机制提供了一个理论框架.
- 有效的谣言控制策略对于管理社交网络中的信息危机至关重要.
- 提供了公共危机管理的见解,利用社交网络分析.
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