To analyze the evolutionary game process of multi-cities’government collaboration in the context of social networks，through an integral modeling procedure of conceptual model，mathematical model，and com-puter model，a multi-agent simulation system，integrating evolutionary game theory and social networks model， is built． An asymmetrical evolutionary game system considering the individual differences on cost and benefit is constructed for the micro level of agent interaction ( considering the interaction between entire game and partial game) ，and a heterogeneous social network evolving system，considering the linking probability differences between nodes，is built for the macro level of social structure ( considering the interchange between global in-formation exchange and local information exchange) ，to achieve the bidirectional feedback and dynamic inter-action between micro game interaction and macro social network based on multi-agent system ( particularly by introducing the interacting willingness) ． The simulation experiments investigate the dynamic effect of network structure variables such as global interacting proportion and local interlinking probability，game coefficient var-iables such as governance benefit and punishment measure，and agent property variable such as decision-mak-ing personality composition，on the evolving process and revenue outcome of multi-cities’continuous game． Policy suggestions are given for multi-cities’coordination and regional integration． Besides，through multiple simulation experiments of each of the experiment plan，samples of data are built for the reliability test of the simulation model and results，and for the statistical analysis of experiment results and findings． This research provides new thoughts in computational simulation experiment research in the field of politics and public ad-ministration．