R&D网络的自组织演化模型及其仿真研究

Research on the Model and Simulation for the Self-organization Evolution of R&D Network

从复杂适应系统理论出发,将R&D网络的演化视为复杂系统的自组织过程进行研究。从宏观阶段划分、微观企业行为规则和网络特征统计量3个维度构建R&D网络自组织演化的分析框架,基于复杂网络理论建立R&D网络自组织演化的理论模型,运用数值仿真方法揭示其演化规律以及知识溢出效率对网络特征统计量的影响。研究结果表明,R&D网络的自组织演化过程最终可达到稳定状态,企业具有择优连接的意识,使网络呈现出无标度和集聚特征,知识溢出效率对网络规模、网络利用效率具有显著影响,这为政府正确制定宏观政策提供了理论依据。利用诺基亚的R&D网络对上述理论模型进行验证,模型与实际网络基本吻合,在一定程度上说明模型的正确性。

From the perspective of complex adaptive system theory, this paper studies the evolution of R＆D network, which is re- garded as the serf-organization process. The paper establishes the analytical framework of R＆D network＇s self-organization evolu- tion from three dimensions including division of macro phases, behavior rules of micro enterprises and characteristic statistics of network. Based on the complex network theory, the paper establishes the theoretical model of R＆D network＇s self-organizatian e- volution, and then reveals the evolutionary rules, influence of knowledge spillover efficiency on characteristic statistics of network by numerical simulation method. The results show： the self-organization evolution of R＆D network will reach the stable state e- ventually; enterprises have the consciousness of ＂preference attachment＂, which makes R＆D network show the characteristics of scale-free and convergence; knowledge spillover efficiency has an significant impact on network＇s scale and utilization efficiency, which provides a theoretical base for goverument~ making macro policies. Finally, we confirm the theoretical model by using No- kia＇s R＆D network, and find that the model and practical network are similar basically, which illustrates the correctness of the model.