Abstract: A large number of enterprises enter industrial cluster by the way of cluster transfer, and realize the common growth between themselves and local companies through the netting cooperation with local companies. The speciality of netting strategy will effect the cluster network structure and knowledge level. The strategy of entering into networks of transfer enterprise is definited based on environmental uncertainty, and the dynamic simulation model of cooperative innovation of transfer enterprise and local enterprise is constructed by multi-agent simulation methods. Then three network structures are compared by following three kinds of networks which take shape after cooperative innovation by transfer enterprise and local enterprise. On this basis, the level of knowledge of cluster under three kinds of environments is compared, and the mechanism of the simulation results is explored. The results show that:under the condition of environmental difference the network structure and knowledge level of clusters present a different changing rule. Risk cluster has the feather of high connectivity and high knowledge level. Partial transfer of business in Shackle cluster are failure to cooperate with local enterprise. And the knowledge width of Shackle cluster has many zero growth. The risk environment is more suitable for transfer enterprise to local embedded in the long run. Risk environment is more suitable for the cluster environment of transfer of enterprise of the local embedding netting, and it accelerates the transfer of promoting enterprise to enhance the cluster knowledge level of the cluster. The research perspective of transfer enterprise netting strategy is expanded into the environmental uncertainty. In a certain sense,it reveals the influence of transfer enterprise netting strategy on the cluster innovation network structure and knowledge level under the condition of environmental difference, and provides certain reference basis for the administrator to develop system and improve the cluster environment.

Key words: enterprise of clustered transfer, strategy of cooperating networks, knowledge potential, environmental uncertainty, knowledge level