Statistical Model Research And Empirical Analysis Of Human Mobility Behavior Based On Complex Network

In recent years, with the development of society and the improvement of social services, human mobility behavior has become a hot topic. Human behavior dynamics is a complex subject, the more we get the information the better it will serve human life. For a long time, due to the applied and theoretical value of the human behavior dynamics, many scientists such as mathematics,statistical mechanics, nonlinear science and other areas pay much attention to it.The main content of this paper is based on the understanding of the distance features of human behavior dynamics,establishing a theoretical model. Then we use empirical data to verify the model reliability, in order to get the characteristics of human behavior,and then compared it to the result of empirical data, we use this method to enrich the understanding of the dynamics of human behavior. The main content of the thesis is listed as follows:Firstly, we studied some literature about human behavior dynamics, then analyzed the models based on time and space in the literature,summarized the advantages and disadvantages, then we establish my own model of human behavior dynamics. In the model we regard a node’s trivial as an individual’s trivial, and assume the time of a node obeys the Poisson Process, the group nodes’ pattern is the same with single way as stated, except that the time interval is subject to exponential distribution with different parameters.Secondly, based on the model we simulate the human travel pattern, when simulating the group nodes in the model, the parameter respectively obeys uniform distribution,exponential distribution and Gaussian distribution, when the group members is enough, the displacement distribution of group is power-law but not exponential distribution. The relation between the nodes exploring a new location and time is also power-law distribution, and the same with the relation between the travel radius and time.Finally, we use the San Francisco and Shenzhen taxi GPS data, as the empirical data to check the model, then used the model to simulate human mobility behavior. In this paper, we got a new model to analyze human mobility behavior.