Organization Behavior Prediction Of Network Community Based On Opinion Dynamics

This paper shows that the behavior predictions of emergency network public opinion events are mostly concentrated in individuals through the analysis of the existing research at home and abroad, and related description is limited to the qualitative theory, which is rarely used in quantitative research. There have been mostly overview researches for groups, but not studied through the group characteristics in different age structure. According to the related research on behavior prediction and the basic content theories of Chinese netizens psychology-behavior characteristics, this paper is combined with Agent simulation method and opinion dynamics to study the organization behavior evolution of network community in different age structure and analyse impact mechanism between netizens of different age in network communities.We introduce researches of psychology-behavior simulation based on BDI model after literature researches. Due to the research need of network public opinion characteristics of different age groups, it needs to quantify the opinion to predict the evolution of group network behavior, which can systematic states the change characteristics of the different age structure groups. Then we introduce the bounded confidence model in opinion dynamics to build the model, in which the opinion of each individual is determined by opinion value and uncertainty value, ultimately it can describe mutual action and network behavior evolution results of a group. Finally, building the organization opinion and behavior prediction model of different age structure based on opinion dynamics and considering the two hotspot network event backgrounds of the social and law and the livelihood at the same time, then we simulate to get the evolution rules of the youth community, middle-aged community and old community under two different network opinion events, while we also analyse the impact of every different age group in each network community. However, the research find that the old group has played a special role in the evolution of network public opinion, and put forward some effective suggestions for government to take specific measures.