Abstract

Application research on complex network theory in the model of public opinions monitoring on weibo netspeak

Author(s): Haiyan Gao

The monitoring and warning of public opinions on the Internet has been the targets of experts and scholars in this industry since it posed a serious challenge for the Internet as the third media. Currently, the research in this field has scored some achievements. This thesis adopted complex network theory as the basic theory and arranged modeling with the target of the evolution of public opinions on the Internet in the hope to discover the evolution patterns of public opinions on the Internet and provide technical support and aids to the monitoring of public opinions on the Internet. This thesis has 3 main parts: the first part is to analyze the subjective initiative of each netizen in the evolution of public opinions on the Internet, which was conducted based on the basic online structure, and come up with the evolution model of public opinions on the Internet through detailed analysis; the second part is come up with the spreading model of public opinions in weibo based on the conventional virus spreading model with the analysis of whether weibo users repost on weibo; the third one is to come up with derivative public opinions spreading model with focus on topics based on public opinions spreading model in weibo and with full considerations of the derivative behaviors during the spreading of public opinions on the Internet. This thesis conducted simulation experiments on all parameters in all the models. By the thorough analysis of experimental data, it shows that the models composed by this thesis can reflect the evolution rules of public opinions on the Internet and is highly practical.