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Research on Optimization Methods of Marxist Ideology Dissemination Network on Social Platform Based on Big Data Technology

By: Hong Jiang1, Enqian Tao2
1Center for Innovative Development of Ideological and Political Work in Colleges and Universities, Ministry of Education, School of Marxism, Zhejiang Shuren University, Hangzhou, Zhejiang, 310015, China
2School of Marxism, Zhejiang Shuren University, Hangzhou, Zhejiang, 310015, China

Abstract

With the development and popularization of information technology, social platforms have become an important platform and channel for the dissemination of Marxist ideology. Social platforms cope with the influence of various non-mainstream ideologies and diversified thoughts, how to make good use of the strengths and avoid the weaknesses to do a good job in the effective dissemination of Marxist ideology is a realistic problem that needs to be thought about urgently. In this paper, we firstly adopt complex network theory to analyze the communication characteristics of Marxist ideology in social platforms. Then, based on the SIR model, taking the competitive relationship between information into account, a model of information dissemination of Marxist ideology with improved SIR model is proposed, and the infection rate, conversion rate, and immunity rate of the model are simulated as well as analyzed in terms of effect. The experimental results show that the efficiency of Marxist ideology dissemination can be accelerated by increasing the infection rate, decreasing the conversion rate and immunization rate.