Modeling and simulation of the knowledge propagation of group nonlinear learning based on the complex network

A knowledge propagation model of group nonlinear learning on complex network is discussed. According to the characteristics of knowledge propagation in the general group learning network, the Cobb-Dauglas generator function is introduced to establish the knowledge propagation model of group nonlinear learning. Through considering self-motivation of excellent individual and repellency of laggard individual, an improved knowledge propagation model is proposed. Simulation results show that propagation speed and distribution of knowledge will increase with the stochastic degree of networks under the same conditions.