To address the issue of existing information diffusion models overlooking user subjectivity and social network dynamics， an SCBRD （Susceptible-Commented-Believed-Recovered-Defensed） opinion propagation model that considers user initiative and mobility in heterogeneous networks was proposed.Firstly， the basic reproduction number was determined using the next-generation matrix method， and the system’s dynamics and optimal control were investigated by applying Lyapunov’s stability theorem and Pontryagin’s principle. Then， a simulation analysis was performed based on BA （Barabási-Albert） scale-free network to identify the significant factors affecting the opinion propagation. The results reveal that users’ curiosity， forwarding behavior， and admission rate play dominant roles in information diffusion and the system has an optimal control solution. Finally， the model’s rationality was validated based on actual data. Compared to the SCIR （Susceptible-inCubation-Infective-Refractory） model， the SCBRD model improves fitting accuracy by 27.40% and reduces the Root Mean Square Error （RMSE） of prediction by 39.02%. Therefore， the proposed model can adapt to the complex and changing circumstances of information diffusion and provide better guidance for official public opinion regulation.