SIR-D-Based Information Processing for Multiplatform Complex Social Networks

Restricting the dissemination of negative information on social networks is crucial for maintaining a healthy online environment. Most research emphasizes establishing information dissemination models and designing information processing methods within a single network platform, which is insufficient to address the accelerated information spread resulting from users’ cross-platform dissemination behavior. This article presents a multiplatform information fusion processing method based on the susceptible infected recovered disregarded (SIR-D) model, which reduces the impact of negative information dissemination. First, we introduce an enhanced comprehensive propagation model, termed the SIR-D model, which incorporates a “Disregarded” state to represent users who have received but chose to disregard the recommended content. Additionally, the user state fusion process in the coupled network structure, consisting of ER random network, BA scale-free network and small world network, is described. Moreover, an information processing method is proposed that implements three different measures based on the level of information harm: taking no measures, weakening the effectiveness and blocking the source. Finally, the effectiveness of the information processing method, which incorporates the user state fusion process, is demonstrated through a simulation within complex social networks. The results indicate that the proposed method significantly improves processing efficiency and effectively reduces dangerous information dissemination compared to the nonfusion method.