Research On Evolution Of Group Polarization Oriented Internet Public Opinion

With the growing popularity of Internet applications, public events quickly spread, and the public participate in these events with unprecedented enthusiasm. In Internet, a lot of information is bad as well as good, emotional and irrational. These factors are apt to cause a public crisis—group polarization. The Internet public opinion has become a fast feedback channel of social public opinion and rich display window of social emotional.Faced with such a vast and complex Internet public opinion, how to understand the public opinion and explore coping strategies are problems demanding prompt solution for the government. On these problems, some research has been done by many scholars at home and abroad with a variety of qualitative and quantitative methods. These research results provide very rich reference value for the study of Internet public opinion evolution whit Chinese characteristics.Based on the results of previous studies, in this paper, the characteristics are qualitative analyzed of virtual community of Internet public opinion, and model is made for Internet public opinion evolution. The model is used to analyze influence factors of Internet public opinion evolution, and to find the influence law for influence factors affecting group polarization. The research provides methodological guidance and theoretical basis for management of Internet public opinion.First, analyzing the group polarization in Internet public opinion evolution, a result is got that Internet public opinion evolution has four kinds of group polarization: uni-polarization, bi-polarization, multi-polarization and non-polarization. Analyzing influence factors of Internet public opinion evolution, these influence factors are summarized as follows:transparency of event, rationality of Internet users and heat of public opinion. Heat of public opinion includes heat of environment, heat of time, heat of attention, heat of posting, and time. The relationship is identified these factors and group polarization. By constructing a statistical method, the motivation relationship is analyzed within these factors.Second, it is done to analyze the Internet public opinion evolution emerge, development, change with cellular automata feature, small-world effect and scale-free property in virtual community of Internet public opinion. Related model are made, and simulated to testify whether the model is reasonable1) Building evolutionary model of cell migration on cell migration traversing.By analyzing the view interaction in Internet public opinion evolution, virtual community is built. Based on cellular automata theory, feature of the cellular automata is analyzed in Internet public opinion virtual community, and migration cell is put forward. By weight of affect, two parameters is established, namely tendency and confidence. The influence is analyzed between two parameters and Internet public opinion evolution. It is put forward that cellular transformation confident standardized majority rules. The migration cellular automata model of Internet public opinion is constructed.2) Building migration cellular model in Internet public opinion evolution based on small world effect.Based on the small-world effect theory in a complex network, the characteristics of small-world effect are analyzed and virtual community is built with small-world effect in Internet public opinion. Migration cell and Moving cell are put forward. The influence is analyzed between two parameters and Internet public opinion evolution, using two parameters tendency and confidence. It is put forward that tendency transformation rules with small-world effect. The migration cellular model in Internet public opinion evolution based on small world effect is constructed.3) Building tow stages model in Internet public opinion evolution based on scale-free characteristic.Based on the scale-free characteristic theory in a complex network, scale-free characteristic is analyzed by empirical in the view form stage and the view interactive stage. Virtual community is built with scale-free characteristic in Internet public opinion. View formation and interactive algorithms are constructed and two stages model is built in Internet public opinion evolution based on scale-free characteristic.Finally, by analyzing factors and evolution model of Internet public opinion under group polarization, some management strategies are put forward about Internet public opinion under group polarization. To a certain extent, implementing these strategies, this can give guidance to the control of negative or unfavorable group polarization generation, prevent aggravation of negative or unfavorable group polarization, improve the party’s ability, enhance initiative of responding to emergency at all levels of government, and create a good public opinion environment which can promote social development.