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| The Model of Rumor Propagation Based on Binary Opposing Information |
| Liu Yunfei, Bin Sheng, Sun Gengxin
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| College of Computer Science & Technology, Qingdao University, Qingdao 266071, China |
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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.
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Received: 29 May 2024
Published: 14 July 2026
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