Research On Memory Effect And Driving Mechanism Of User Behavior

With the development of information and technology,more and more human behavior data is recorded,which is helpful for analyzing human behavior more accurately and have important practical significance for public opinion monitoring and guidance,network security etc.In order to reveal the internal mechanism and regularity,this paper studied the time characteristics of some university users accessing to social networks and researched the memory effect and human activity.The main contents and results are as follows:(1)This paper used the auto-correlation coefficient method to quantify the memory effect.Empirical results suggest that the number of events obeys power-law distribution in the individual and group level and the ratio of two adjacent time intervals in a period shows the double Pareto distribution.According to the ratio,users increase or decrease the frequency of landing.The empirical data are in agreement with the theoretical analysis.(2)By analyzing the relationship between users' memory and activity,we found that there is a certain range of memory.And then a self-exciting point process is used to express the change of users' memory.The results show that the memory effect depends on the accumulation of the events of the past.The memory effect is finite and variable.(3)This paper analyzed the influence of different factors on the online behavior.The results show that the user's activity level will be affected by the subject background to some extent and compared with task-driven website users prefer to access interest-driven website.At the same time,the users' online behavior shows clear rhythm.Then the paper proposed a model driven by subject and interest,and the simulation result is consistent with the result of empirical analysis.