Analysis And Its Applications Of APP User Behavior Based On Petri Net

With the rapid development and popularization of Mobile Internet and E-Commerce,exchanging data and services through the Internet has become a basic requirement under the condition of open multi-domain environment.With the continuous running of the system user behaviors,generated in the process of using APP,are usually stored in user logs and databases.The volume of user behaviors increases rapidly,which leads to some urgent problems while analysts analyze user behaviors under such massive and redundant user behavior data.This paper analyzes the theories about APP user behaviors and application problems based on Petri net.From the user log of view,the user behavior trajectory will be obtained and viewed as the characteristics of user behaviors.Regularities of user behaviors can be extracted through Petri net theories and analysis methods.On this basis,the proposed theories and methods are applied to detect whether current user behavior is trusted or not.The content of this paper mainly includes:Firstly,a method is proposed in this paper,in which the user behavior network is constructed by using system logs.The user behavior trajectory,the associations among user behaviors,and the degrees of associations can be shown and analyzed intuitively through the user behavior network.Then,other preliminary analyzing results about user behaviors can be obtained.Secondly,user Petri net is defined based on user behavior network,which can establish the basis model of the user behaviors from the point of view of Petri net.According to Petri net theories and properties(i.e.,state accessibility,fairness,synchronization distance),user behaviors can be analyzed more effectively.Meanwhile,the relationship among user behaviors can be analyzed,also the relationship between behavioral data and behaviors can be obtained.Finally,the problem of user behavioral credible identification will be discussed by using Petri net theories and methods in this paper,which includes the problems of state legitimacy judgment,behavior consistency judgment and content consistency judgment.The credible identification framework and strategy of user behaviors judgment are designed in this paper to solve above judgment problems.To validate and evaluate the validity of the credibleidentification of user behaviors suggested in this thesis,an application case and a series of simulated experiments are given through testing and analysis.This paper applies theories and methods of Petri net to the research of user behavior analysis,puts forward a new technical solution for user behavior credible identification,and conducts some useful attempts for Petri net in analyzing user behaviors together with behavioral data.