Models Of The Network Publicopinion Dynamics On Complex Social Networks

Network public opinions are like prisms that well refracting rational social relationship in real life. With the rising of network society, network public opinions, the barometer of real society, is becoming a frequent social phenomenon that can’t be neglected. It can form significant scale effect and further generate deep-going social effect with gathering popular will. In this case, the study of its developing regular pattern and systematic analysis of its dynamic process have important reality meaning for ensuring social balance, preserving social stability and promoting social harmony. On the base of systematic sorting and summarizing related research results in and abroad, this paper apply means of complex network analysis, theoretical modeling and computer emulation comprehensively to abstract reasonably individual behaviors and interactive characteristics in the dynamic procedure. In this way, the dynamics model of network public opinions in complex social network is built and deep emulation analysis of the model is preceded. This study is based on the view of complex social network to recognize inner rule of network public opinions’ dynamics, and is mainly developed and getting result through the following aspects.Firstly, this paper defines the connotation of network public opinions’ dynamics through sorting related research results and presents the blend-sublevel structure of dynamics. It points out that the dynamics is not a simple one-way linear proceed and it’s complex and dynamic, instead. Within it there are two branch links as opinion gathering and message diffusion which are caused by behavioral agent’s interaction in the network space. The two links mix and affect mutually, building the dynamics’ structural order in the form of mix joint. In the view of social dynamic’s research paradigm, the macroscopic level as the rising of complex group and social phenomenon has great relationship with the microscopic level as the simple individual behavior. For this reason, this paper further analyses the basic structure and topological property of dynamics space, proposing the multi-agent interaction model and holding the view that the diverse behavior agent connect each other in the way of complex social network. The agents use the bridging effect of weakly-coupled, radiation effect of center point and interactive proceed of stratification to push the dynamics’ developing in the form of self-organized cooperation. The above analysis has constructed the base of dynamics model.Secondly, based on the theory of complex social network and modeling view of standpoint dynamic model, the essay abstracts gathering rule of individual opinions in the dynamic proceed and constructs opinion gathering model in complex social network. In the network space, opinions of diverse behavioral agent about a certain public sentiment have experienced from chaos to agreed or relatively agreed. From the microscopic view, this process is the dynamics proceed that the diverse behavioral agents constantly renew their opinions in some certain rules. These rules can be summed up as three aspects that individual opinions evaluate continuously in limited space, individuals choose interactive agent in neighborhood space following limited trust and renewed opinions on his extent of accepting others’ opinions and the network connected by individuals contently changes with the flow of people inside. This research uses the method of computer simulation to analyze the opinion gathering model. In this way, it announces the impact of acceptance degree of individual opinions, trust evaluation, initial distribution of individual opinions, and network structure and opinion leaders for the opinion gathering of network public opinions.Thirdly, through the analysis of individual affect model in the information diffusion, the paper proposed individual contact process based on complex social network. For individual contact, the network public opinions fulfilled diffusion in the whole network. Referring to the dividing method of SEIR model’s individual states in the Bin effect, the agents are sorted as unwitting, witting, spread and shift out. And as the same in the real information diffusion, the transform process and rate of the states are set to construct the information diffusion model. Using computer simulation analysis, the essay shows the stimulation of information diffusion effect to the main parameter, network structure feature, quantity of initial spreaders and location in the networks.Finally, following the rules of heavy impact and great timeliness, the essay chooses1122explosion of oil pipeline in Qingdao as the sample to analyze the opinion gathering and message proceed in it. Through the systematic analysis, this paper presents the opinion gathering proceed under certain network structure and influenced by individual opinions’ initial distribution and opinion leaders. In addition, analyzing the stimulation of the message diffusion effect for the network structure and initial spread point, and further testing and verifying the dynamics model of network public opinions.