Multidimensional Communication and Innovative Path of Red Culture in Civic Education of Colleges and Universities Driven by Artificial Intelligence

Abstract

Red cultural resources have a long history, rich content and deep heritage, which are rooted in the excellent traditional Chinese culture, innovated in the historical process of Marxism's Chineseization, and formed in various historical periods of revolution, construction and reform. The study proposes the SNIIR communication model in response to the insufficient phenomenon in the SIR model communication process for the effective communication of red culture in ideological and political education in colleges and universities. The data sets of Advogato and Anybeat social network platforms are selected for static topological characterization, and the overall structure of the network and its importance in information dissemination are explored, and the results show that the research results indicate that 46 and 157 in the network will have a high degree of activity in terms of the role of information release and information dissemination, and that they have a stronger ability to guide the dissemination of information in the network. Taking the content dissemination of red culture articles as an example, we get the change of the number of retweets in each hour of the first 24 hours, and optimize the corresponding parameters of the SNIIR model and the traditional SIR model to get the optimal parameters about the fitting of the case event data. On the basis of the case data, we compare and verify the effects of the traditional SIR model and the improved SIR model, and the results of the experimental comparison show that the SNIIR model can better illustrate the general evolution of the topic spreading on the social network, and is more in line with the current information dissemination process of the social network.