Research On Network Platform Transaction Model And Regulatory Simulation In Considering Matching Information

In recent years,with the rapid development of information technology,Internet,and service-oriented economy,the business transaction model based on Internet and relying on information technology has gradually entered the practical stage,and manycompetitive ecommerce platforms have been derived.The network platform transaction model based on information technology has become a hot topic,and has received positive response from scholars at home and abroad.Its related theory and technology development have been deepened,and unprecedented progress has been made in the migration from the traditional business transaction mode to the Internet.environment.However,how to combine the characteristics of Internet information service with the economic attributes of network platform transaction,reasonably standardize the matching information relationship to realize the directional matching of transaction subject,and establish a benign network platform trading market structure,transaction model and operation mechanism,which is the most important thing that affects the further development of network platform trading at present.Therefore,it is of great practical significance to construct a network platform transaction model based on matching information.Based on the existing research,this paper deeply analyzes the transaction structure of the network platform from the perspective of matching information.With the simulation platform,the transaction model of the network platform based on matching information is constructed and the simulation research is carried out.The main research work includes the following three aspects.(1)A network platform transaction model considering matchinginformation is designed.Firstly,the transaction relationship in the network platform is analyzed,and the transaction relationship is divided into a subject class and a connection class.The subject class includes the consumer class,the seller class and the platform class which have the behavior choice attribute in the network platform.The connection class mainly involves the matching information in the transaction process of the network platform.Secondly,the matching information relationship of the network platform transaction is analyzed from the perspectives of commodity attribute information,subject attribute information and external attribute information.Finally,according to the reduction theory,the above conceptual model is abstracted,and the Agent modeling method is used to establish a multi-agent trading system with consumer agent,seller agent and network platform agent.Based on the transaction matching problem of the network platform,this paper describes the attribute information and behavior rules of the related subjects involved in the network platform exchange,and designs the program based on the java language,and establishes the system program file based on the subject class,including Consumer.java class,Seller.java class,NetworkPlatform.java class,StartMatching.java class and SwarmUtils.java class,and the network platform transaction model considering matching information is established.(2)Simulation is performed on a network platform that considers matching information.Firstly,using the Swarm simulation platform,design the MatchingModelS warmjava file in the ModelSwarm class to encapsulate a series of objects in the system and the action sequence table of these objects to define the simulated world.Secondly,using the ObserverSwarm class of the Swarm simulation platform,the MatchingObserverSwarmjava file is designed to monitor and visualize the running status of the network platform trading system.Finally,the model is simulated from the perspective of the matching information probability p,and the results are compared and analyzed.(3)Regulatory simulation of the network platform transaction model in considering matching information.First,starting from the simulation results of the network platform transaction model considering matching information,combining the theoretical basis and related research content,selecting the appropriate control variables,analyzing the regulation mechanism,and completing the related Regulator.java file design.Secondly,several simulation experiments carried out to control the different variables to study the effective variables and their effects of optimizing the trading structure of the network platform.Finally,the implications of simulation results in management are given.Based on the theory of complex adaptive system and the current situation of electronic commerce in China,this paper analyzes the transaction structure of network platform,establishes the Swarm model of network platform transaction considering matching information,and simulates the model.It makes it more intuitive and dynamic to observe the running state of the network platform transaction,and provides the theoretical reference for the development of trading rules for real network platforms.