National security education knowledge dissemination is an important means to enhance the security awareness of all people. In the digital era, social networks have become the main channel for knowledge dissemination, but the traditional dissemination model is difficult to accurately describe the information flow characteristics in social networks. Based on complex network theory, this study explores the dissemination law of national security education knowledge in social networks by improving the SIRI dissemination model, and proposes strategies to optimize the dissemination path. The study constructs an improved SIRI model containing three states of information unknowns, information disseminators and information ignorers, and introduces five key parameters: external social influence probability, internal network influence probability, immunization probability, direct immunization probability and external network influence probability. Based on the microblogging real data validation, the results show that the national security education tweets generated 325,622 retweets in the first 24 hours, accounting for 96.8% of the total retweets; after adopting the method of this paper, the peak of propagation decreased from 0.5342 to about 0.4, and the propagation speed was obviously slowed down. The study finds that digital media break through the geographical restrictions and realize the universal coverage of national security education; social platforms such as “two micro one end” build an efficient information exchange channel between the state and the nationals; and personalized content delivery supported by big data analysis and algorithms improves the relevance and attractiveness of national security education. This study provides theoretical basis and practical guidance for the dissemination of national security education knowledge, which is of great significance in promoting the dissemination of national security education for all.
