Research On Knowledge Sharing Behavior In Virtual Community Based On Multi-Agent Simulation

With the development of the Internet,people can search the information and express their opinions based on the virtual community.To share the information and knowledge in the virtual community can keep the community alive and sustainable.Therefore,to study the behavior of sharing knowledge is full of challenge and is worth to do.Based on the study on the knowledge sharing in virtual community in the past,we can find that most research mainly focus on the reason contributing to sharing,from one point to a few points or in the static stage.Howerve,it is a dynamic and complex system for people to decide to share.To solve the problem above,a simulation model based on evolutionary game theory,network structure theory and multi-agent theory is built to analysis the user knowledge sharing behavior using the simulation software.And the simulation experiments and results analysis are performed by considering the change of three influencing factors,which are profit parameter,network structure and user segmentation.On this basis,the dynamic evolution of knowledge sharing behavior in virtual community is discussed,so as to provide a valuable decision support for the virtual community manager.The research implys:(1)profit parameter has a positive significance on the knowledge sharing behavior.(2)the user segmentation can change with the development of the virtual community and the evolution of the sharing behavior of people.we reduce the ratio of the lurker and raise the ratio of the leaders to contribute to the community.(3)The network structure also can evolve,the network density and reciprocity index is bigger,the better of the development of the virtual community.