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

Blockchain-based social networks differ from traditional ones with respect to in-formation diffusion. This study develops an evolutionary game model to investi-gate how blockchain features affect users’ information diffusion behaviours, withthe aim of boosting efficiency in social networks. The model provides a detailedanalysis of the dynamic evolution of user behaviours across various scenarios. Us-ing the Steemit platform as a case study and integrating theoretical and empiricalanalyses, the study validates the model’s applicability and visually illustrates thecharacteristics of information diffusion through cloud maps. The findings revealthat a blockchain’s core features, such as trust and incentive mechanisms, promptusers to adopt a more cautious approach when disseminating low-quality informa-tion—particularly distorted or malicious content—within social networks. Thesemechanisms ultimately contribute to an overall enhancement of content qualityacross social networks.