Study on Evolution Model of Internet Public Opinion Based on Complex Network

In view of the complexity of Internet and the heterogeneity of individual in public opinion spreading, established the Internet public opinion evolution model based on complex network. Through experiment simulation, observed influences of order parameter and network topology on the evolution of opinion. Simulation results show that: 1) this model can greatly reflect the synergy effect of order parameters on opinion system, and it is more consistent with the actual situation. 2) the evolution of opinion is related to average degree and clustering coefficient: when average degree is small, the bigger clustering coefficient is, the more it can restrain the propagation of opinion; but when aveage degree exceeds a critical value, clustering coefficient no longer plays a key role, and at this point system will converge rapidly to extreme attitude.