Simulation and Algorithm of Network Public Opinion Based on a New Wavelet Threshold

Abstract

According to the existing deficiency of the process of network public opinion for the ideological and political work in colleges and universities, we put forward a new threshold network public opinion algorithm. Compared with the network public opinion algorithm which has the traditional soft and hard threshold and the existing threshold, the new algorithm has overcome the error about the estimation between network public opinion and the real public opinion, and has better regulation and continuity. Simulation results show that it can improve the quality of network public opinion by using the new threshold function, and reduce the intensity of interference on students.