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产业集群广义创新合作网络演化
引用本文:黄玮强,庄新田,姚爽.产业集群广义创新合作网络演化[J].东北大学学报(自然科学版),2012,33(4):592-596.
作者姓名:黄玮强  庄新田  姚爽
作者单位:1. 东北大学工商管理学院,辽宁沈阳,110819
2. 沈阳化工大学经济管理学院,辽宁沈阳,110142
基金项目:国家自然科学基金资助项目,教育部人文社会科学研究资助项目,中国博士后科学基金资助项目,中央高校基本科研业务费专项资金资助项目,沈阳市科技局计划项目
摘    要:综合考虑网络动态演化过程中的偏好依附和区域优先连接性,运用复杂网络研究中的率方程法,从企业的"网络嵌入性"角度出发,推导出了网络度分布的演化方程.分析结果表明,创新合作网络度分布服从幂律分布;随着网络的动态演化,企业间所拥有的资源差异越来越大,这给企业带来了更多的技术机会,有利于新知识的产生和交流;"网络嵌入性"越均衡,越有利于提高集群整体的创新绩效;应鼓励集群内企业间积极开展创新合作,这将有利于优化网络结构,降低创新资源被少数企业所垄断的可能性.

关 键 词:产业集群  广义创新合作网络  区域优先连接  率方程法  动态演化  

Evolution of Generalized Innovation Network in Industry Clusters
HUANG Wei-qiang,ZHUANG Xin-tian,YAO Shuang.Evolution of Generalized Innovation Network in Industry Clusters[J].Journal of Northeastern University(Natural Science),2012,33(4):592-596.
Authors:HUANG Wei-qiang  ZHUANG Xin-tian  YAO Shuang
Institution:1.School of Business Administration,Northeastern University,Shenyang 110819,China;2.School of Economics and Management,Shenyang University of Chemical Technology,Shenyang 110142,China.)
Abstract:Both the preference attachment and regional connection preference were considered in the process of network dynamic evolution.The evolution equation of network degree distribution was derived on the basis of the incremental equation method,which was used in the research of complex networks.The analysis results demonstrated that the innovation network degree distribution followed the power-law. The resource differences among the enterprises are getting larger and larger with the dynamic evolution of network,it brings more technology opportunities for enterprises and is propitious to the production and communication of new technologies.The more uniform the network embedment,the more advantageous to improve the innovation performances of the cluster.Innovation cooperation should be encouraged to optimize the network structure and to reduce the resource monopolization possibilities by few enterprises.
Keywords:industry cluster  generalized innovation network  regional connection preference  incremental equation method  dynamic evolution
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