集群创新合作网络的自组织演化模型及其仿真研究

Self-organizing Evolution Model of Industry Cluster Innovation Networks and Its Simulation Analysis

通过刻画集群主体的理性创新合作决策行为,建立集群创新合作网络演化模型,运用仿真方法研究网络的自组织演化规律及拓扑结构特征等。结果表明,知识溢出效率越高,网络越快自组织演化至稳定状态,其资源配置效率及公平性也越高。知识非完全溢出情形下,出现合作主体间的影响力异类匹配,网络具有普遍的小世界性特征。知识的互补性并非建立创新合作关系的必要条件,潜在合作伙伴的网络位置也是独立于知识水平的重要影响因素。

By depicting the rational innovation cooperation decision making behaviors of industry cluster members, the industry cluster innovation eooperation network evolution model is built, and then the network self-organizing evolution rules and its topological structures etc are analyzed by sim- ulation 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 small-world characteristics. The comple-mentary 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.