产业二分网络拓扑结构演化的知识转移驱动机制研究

Research on the Driving Mechanism of Knowledge Transfer on the Topology Evolution of Industrial Bipartite Networks

摘要: 随着技术创新复杂度的提高，越来越多的知识密集型服务嵌入到产业中。产业中的知识密集型服务机构群与创新企业群之间围绕技术创新活动形成了二分网络。基于服务机构与创新企业之间的知识距离，本文提出了产业二分网络上知识转移与网络结构的协同演化模型，并进行了计算实验分析。研究发现，适当的知识距离可以促进知识在服务机构和创新企业之间加速转移；网络知识存量随着知识扩散阈值的增大而增大，但链接粘性太高或太低都不利于网络知识存量的增加；网络知识增长速度在初始阶段快速增长，而后缓慢下降到稳定状态。产业二分网络的投影网络在演化过程中逐渐自组织形成小世界网络。研究结论对于加快知识扩散、提升技术创新能力有着重要的意义。

Abstract: More and more knowledge-intensive services are embedded in industry with the increasing com-plexity of technological innovation. The set of service institutes and enterprises form the bipartite network around the activities of technological innovation. Based on the knowledge distance be-tween service institute and enterprise, the co-evolution model of knowledge diffusion and industrial bipartite network is constructed, and then some computing experiments have made to analyze the evolutionary process of the model. Some conclusions are obtained from the analysis. The adequate knowledge distance can improve the knowledge diffusion between service institutes and enterprises. Average knowledge stock in network increases with the increasing diffusion threshold. However, too high or too low link stickiness has disadvantage to the increasing of knowledge stock. The increasing rate of knowledge is very fast in the beginning, and then slows down to stable status in the end. The industrial network forms a small world automatically during evolution. The conclusions are very important for increasing knowledge diffusion and promoting innovation capability.