摘要
创新扩散是产业集群技术升级和保持竞争优势的重要动力。基于复杂网络理论和创新扩散研究成果,在构建产业集群加权网络模型的基础上,应用基于邻居感染权重的扩散机制,提出了基于三阶段感染状态的SIR病毒传播改进模型,通过计算机仿真模拟了创新在产业集群网络中的扩散过程。仿真结果显示,节点强度对创新扩散具有重要影响,可调节参数k与创新扩散呈现正相关关系,产业集群创新扩散的爆发存在一个临界值。最后提出了政策启示,对相关研究具有一定学术参考价值。
Innovation diffusion is an important driving force to technology upgrade and maintaining the competitive advantage for industrial clusters. Based on complex network theory and innovation diffusion, this paper establishes an industrial cluster evolution network model, uses neighbor infection weight method, and puts forward an modified SIR epidemic model which has three infected stage. It simulates the innovation diffusion process in industry cluster network by computer simulation. Simulation results shows that the strength of the nodes has an important influence on innovation diffusion, the adjustable parameter K has a positive correlation with the innovation diffusion, and there is a threshold value for the innovation diffusion of industrial clusters. Finally, some policy implications are put forward. The article has a certain academic reference value for the related research.
出处
《重庆大学学报(社会科学版)》
CSSCI
北大核心
2017年第6期13-20,共8页
Journal of Chongqing University(Social Science Edition)
基金
国家自然科学基金青年科学基金项目(41401655)
山西省软科学研究项目(2016042007-1)/(2016041016-2)
关键词
产业集群
创新扩散
复杂网络
传播模型
industrial cluster
innovation diffusion
complex network
epidemic model