Abstract

In the process of cultural dissemination, the dissemination of false information will have a negative impact on the entire environment. In this case, it is an effective method to regulate the behavior of cultural dissemination participants. Based on the community network structure and the improved classic network communication model, this paper constructs the susceptible-infected-recovered (SIR) model for the grassroots communication of engineering safety culture and discusses the law of grassroots transmission of engineering safety culture. The communication process is simulated, and it is concluded that a good engineering safety culture will be the first to be covered by low-level engineering safety culture in the process of dissemination. With a modularity coefficient of 0.5 as the boundary, it will affect the scale of good safety culture in different directions; the dissemination infection rate of low-level engineering safety culture changes in the same direction with the speed and scale of transmission; the maximum transmission scale of low-level engineering safety culture does not decrease with the increase of the initial value of the susceptible state. When the initial value of the immune state is 15%, the low-level safety culture scale is the lowest value of 0.135, which is the low initial value of employees with low-level engineering safety culture and is more conducive to control its maximum spread. It also puts forward management recommendations for the subjects and objects of the grassroots dissemination of engineering safety culture. This paper transforms cultural communication into an evolutionary game model, uses a game tree to describe it, and analyzes that the model has a Nash equilibrium point by adding a penalty function to the income matrix. This model can encourage cultural communication participants to take honest behaviors, effectively restrain the transmission of false information, and promote a virtuous circle of cultural communication.

Highlights

  • Introduction e vigorous development of theInternet and the huge number of netizens have transformed cultural promotion from traditional media promotion into an interactive, open, shared, and diverse network of cultural communication [1].e diversity of its communication channels, the efficiency of communication, and the richness of the dissemination content have profoundly changed people’s work, study, and lifestyle

  • Using game theory and social network analysis methods, a cultural communication model based on the game of bounded rationality is established, and the social network is abstracted into a network model that is convenient for research through complex network theory

  • In the real complex cultural communication environment, much information about opponents is unknown, which is not conducive to satisfying the interests of all parties, and it is even difficult to reach an agreement on cultural communication. e actual cultural communication system should have an effective learning and decision-making mechanism in order to obtain dynamic domain knowledge from the cultural communication environment that may change

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Summary

Research Article

Modeling and Simulation of Cultural Communication Based on Evolutionary Game Theory. Is article starts from the main participants of the network culture communication, transforms the network culture communication process into a game process equivalently, establishes an appropriate model, effectively prevents the occurrence of adverse events caused by the dissemination of false information, and promotes the benignity of the network culture communication cycle. Using game theory and social network analysis methods, a cultural communication model based on the game of bounded rationality is established, and the social network is abstracted into a network model that is convenient for research through complex network theory On this basis, this paper conducts further theoretical analysis and simulation analysis of the model, separately studies the propagation of the model under different network structures, communication strengths, social deterrence, and trust thresholds, and broadens the scope of application of the research conclusions. Is model can encourage cultural communication to participate in honest behavior, effectively suppress the transmission of false information, and promote a good cycle of cultural communication

Related Work
Parametric simulation
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