针对社交网络中部分个体在接触到谣言信息后会核实其真实性,并进行反向传播辟谣信息来阻止谣言扩散的现象,提出了一种新的二元对立信息传播模型——CASEIR模型。该模型还引入了传播疲劳机制,通过仿真分析了不同网络结构、网络平均度以及辟谣启动时间对谣言和辟谣信息的影响。实验结果表明,平均度越高,辟谣时间的不同带来的差异越大;提高谣言逆转率、谣言置换率以及信息核实率均能有效控制谣言传播,为社交网络中的谣言防治提供了参考。
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.
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