Abstract：In response to the phenomenon where some individuals on social networks verify the authenticity of rumors and then actively disseminate counter-rumors to prevent further spread, a new binary opposition information dissemination model, the CASEIR model, is proposed. The model also incorporates a transmission fatigue mechanism and analyzes through simulations the effects of different network structures, average degree, and counter-rumor initiation time on the spread of rumors and counter-rumor information. The experimental results show that the higher the average degree, the greater the impact of varying counter-rumor initiation times. Increasing the rumor reversal rate, rumor replacement rate, and information verification rate can effectively control the spread of rumors, providing a reference for the prevention and control of rumors in social networks.
刘云飞, 宾晟, 孙更新. 基于二元对立信息的谣言传播模型研究[J]. 复杂系统与复杂性科学, 2026, 23(3): 19-26.
Liu Yunfei, Bin Sheng, Sun Gengxin. The Model of Rumor Propagation Based on Binary Opposing Information[J]. Complex Systems and Complexity Science, 2026, 23(3): 19-26.
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