Research on the information dissemination method of Chinese culture education based on information dissemination datasetResearch on the information dissemination method of Chinese culture education based on information dissemination dataset

Abstract

Abstract This paper proposes an evolutionary model of information dissemination based on information exposure states and the underlying topology of social networks. Based on the definition of similarity, the K-means method is used to cluster the categories of information based on the activation of information at the network vertices and to model the “category-category” interactions. The evolution of information dissemination is then explored, and the EGT model is fitted to obtain a gain matrix that reveals the interaction of information, and the quantitative evolution of information is then analyzed. Finally, the information dissemination media of Chinese language and culture education are explored, and the analysis of the dissemination of Chinese language and culture education under various media, comparing the feedback effects of traditional and modern media as representatives of Chinese language and culture classes. Among the feedback results of each medium, the traditional medium’s positive and active feedback indices ranged from 5 to 17, while the modern medium ranged from 12 to 27. The traditional media’s negative and passive feedback indices ranged from 2-3, while the modern media ranged from 3-4. In the field research on the informatization of the Chinese language and culture, the total score for the informatization of the Chinese language and culture curriculum in Yucai Middle School was 0.45, and the total score for Guangming Middle School was 0.65. Modern media can facilitate the spread of the Chinese language and culture to a certain extent.