Information Diffusion in Blockchain-Based Social Networks Using Evolutionary Game Theory

Blockchain-based social networks differ from traditional ones with respect to information diffusion. This study develops an evolutionary game model to investigate how blockchain features affect users' information diffusion behaviours, with the aim of boosting efficiency in social networks. The model provides a detailed analysis of the dynamic evolution of user behaviours across various scenarios. Using the Steemit platform as a case study and integrating theoretical and empirical analyses, the study validates the model's applicability and visually illustrates the characteristics of information diffusion through cloud maps. The findings reveal that a blockchain's core features, such as trust and incentive mechanisms, prompt users to adopt a more cautious approach when disseminating low-quality information-particularly distorted or malicious content-within social networks. These mechanisms ultimately contribute to an overall enhancement of content quality across social networks.