Applying Evolution Computation Model to the Development and Transition of Virtual Community under Web2.0

Under Web2.0, everyone is the content producer and consumer concurrently. The users’ contribution to the environment is the key element to enrich the content. The connection among the individuals forms the social network, and become the virtual community which is socially open to every individual who wants to share information and join the community. The anticipation of the web companies in the open environment of Web2.0 is to have a bigger-and-better community. However, in the present phase of development, there are still many questions remaining, such as, will the virtual communities be expanded like the anticipation? Is the inference correct? In this paper, we propose a novel method to conduct the research based on the Particle Swarm Optimization (PSO). By simulating the behaviors of the individuals in the communities, we are able to demonstrate that there’s a limitation of the community development in the Web 2.0 environment.