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产业集群广义创新合作网络演化 被引量:5

Evolution of Generalized Innovation Network in Industry Clusters
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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. 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.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2012年第4期592-596,共5页 Journal of Northeastern University(Natural Science)
基金 国家自然科学基金资助项目(70871022 71001022) 教育部人文社会科学研究资助项目(09YJC630029) 中国博士后科学基金资助项目(20100471460) 中央高校基本科研业务费专项资金资助项目(N090406009) 沈阳市科技局计划项目(F11-263-5-26)
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 industry cluster generalized innovation network regional connection preference incremental equation method dynamic evolution
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  • 1Powell W W,White D R,Koput K W,et al.Networkdynamics and filed evolution:the growth of inter-organizational collaboration in the life sciences[J].A mericanJournal of Sociology,2005,110(4):1132-1205.
  • 2Valente T.Social network thresholds in the diffusion ofinnovations[J].Social Networks,1996,18(1):69-89.
  • 3Cowan R,Jonard N,Ozman M.Knowledge dynamics in anetwork industry[J].Technological Forecasting&SocialChange,2004,71(5):469-484.
  • 4Caryol N,Roux P.Knowledge flows and the geography ofnetworks:a strategic model of small world formation[J].Journal of Economic Behavior&Organization,2009,71(2):414-427.
  • 5Ozman M.Knowledge integration and network formation[J].Technological Forecasting and Social Change,2006,73(9):1121-1143.
  • 6Baum J A C,Cowan R,Jonard N.Network-independentpartner selection and the evolution of innovation networks[J].Management Science,2010,56(11):2094-2110.
  • 7李勇,屠梅曾,史占中.企业集群创新网络动态演化模型[J].系统工程理论方法应用,2006,15(2):180-184. 被引量:11
  • 8蒋军锋,党兴华,薛伟贤.技术创新网络结构演变模型:基于网络嵌入性视角的分析[J].系统工程,2007,25(2):11-17. 被引量:19
  • 9李金华.广义创新网络的演化结构及其现实意义[J].科学学与科学技术管理,2008,29(2):101-107. 被引量:13
  • 10Granovetter M.Economic action and social structure:theproblem of embeddedness[J].American Journal ofSociology,1985,91(3):481-510.

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  • 1刘桃,刘秉权,徐志明,王晓龙.领域术语自动抽取及其在文本分类中的应用[J].电子学报,2007,35(2):328-332. 被引量:31
  • 2Carley, Kathleen M , Jilrgen Pfeffer. ORA User's Guide 2013 [ R]. Carnegie Mellon University, School of Computer Science, Institute for Software Research, Technical Report.
  • 3Effken, Judith A & Carley, Kathleen M & Gephart, Sheila & Verran, Joyce A & Bianchi, Denise & Reminga, Jeffrey & Brew- er, Barbara B. Using ORA to Explore the Relationship of Nurs- ing Unit Communication to Patient Safety and Quality Outcomes[J].International Journal of Medical Informatics ,2011,80 ( 7 ) : 507-517.
  • 4Ozman M. Knowledge Integration and Network Formation[ J] . Technological Forecasting and Social Change, 2006,73 ( 9 ) : 1121- 1143.
  • 5Ansari A, Koenigsberg O, Stahl F. Modeling Multiple Relation- ships in Social Networks [ J ]. Journal of Marketing Research, 2011,4(48) : 713-728.
  • 6Liu X, Yu S, Janssens F, et al. Weighted Hybrid Clustering by Combining Text Mining and Bibliometrics on a Large- scaleJournal Database[J]. Journal of the American Society for Infor- mation Science and Technology,2010, 61 ( 6 ) : 1105 - 1119.
  • 7Br6dka P, Skibicki K, Kazienko P,et al. A Degree Centrality in Multi- layered Social Network [ J ]. IEEE Computer Society, 2011:237-242.
  • 8Weng C S, Chen W Y, Hsu H Y, et al. To Study the Techno- logical Network by Structural Equivalence [ J ]. Journal of High Technology Management Research. 2010, 21 ( 1 ) : 52-63.
  • 9Alan L Porter, Jan Youtie, Philip Shapira,et al. Refining Search Terms for Nanotechnology [ J ]. Journal of Nanoparticle Re- search, 2008,10(5 ) :715-728.
  • 10Porter A L, Youtie J, Shapira P, et al. Refining search terms for nanotechnology [ J ]. Journal of Nanoparticle Research, 2008, 10(5) : 715-728.

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