By depicting the rational innovation cooperation decision making behaviors of industry cluster members, the industry cluster innovation cooperation network evolution model is built, and then the network selforganizing evolution rules and its topological structures etc are analyzed by simulation methods. The results show that the higher the knowledge spillover efficiency is, the faster the network self organized to the stable state and the higher the network resource allocation efficiency and its fairness is. When the knowledge is partially spilled, the influence powers of cooperated members are not assertive and the emergent networks have common smallworld characteristics. The complementary knowledge is not the necessary condition for establishing the cooperation relationships, and the network position of potential partners is also an important influence factor which is independent of the knowledge levels.
黄玮强, 庄新田, 姚爽. 集群创新合作网络的自组织演化模型及其仿真研究[J]. J4, 2012, 9(10): 1475-.
HUANG Wei-Qiang, ZHUANG Xin-Tian, YAO Shuang. Self-organizing Evolution Model of Industry Cluster Innovation Networks and Its Simulation Analysis. J4, 2012, 9(10): 1475-.