SELHR: A Novel Epidemic-Based Model for Information Propagation in Complex Networks

The study of information spreading based on the complex network theory and topological structure has become an important issue in networks. Plenty infectious disease models are widely used for diffusion research Based these state-of-the-art models, a new epidemic dynamic model with evolution equations is proposed performed homogeneous heterogeneous networks, respectively, this paper. Meanwhile, we divide propagation states into two states: L H (low ability groups high groups) consider transformation our model. Then, equilibria stability analyzed both networks to verify validity Finally, simulation results illustrate that reasonable effective. Experiments effect factors also reveal interaction mechanism process