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考虑技术中介的相互依存创新网络系统鲁棒性研究
引用本文:马腾,李冲.考虑技术中介的相互依存创新网络系统鲁棒性研究[J].科技进步与对策,2017,34(6):7-14.
作者姓名:马腾  李冲
作者单位:1.同济大学 经济与管理学院,上海 201804;2.成都市城乡建设委员会,四川 成都,610094
基金项目:国家建设高水平大学公派研究生项目 (留金发2014[3026])
摘    要:创新网络系统已成为当前创新领域的研究热点之一。技术中介能够实现不同企业或组织技术需求与技术投入的最优匹配。相互依存网路将创新网络、技术中介网络和技术服务支持网络整合为有机整体。为此,构建了节点负载的相互依存创新网络系统级联失效鲁棒性模型。研究发现,容限系数越高的系统,其鲁棒性越好。在随机失效方式下,随机网络结构比其它两种组织网络结构任务完成效率高;在优先失效方式下,一定比例的组织节点优先失效即可导致整个网络完全瘫痪。该结论为研究创新网络结构以及关键创新技术节点冗余机制的采用提供了新的思路和视角,具有一定的探索意义和实践价值。

关 键 词:创新网络  技术中介  相互依存网络  鲁棒性  
收稿时间:2017-01-18

Research on Robustness of Interdependent Innovation Network System Based on Technology Broker
Ma Teng,Li Chong.Research on Robustness of Interdependent Innovation Network System Based on Technology Broker[J].Science & Technology Progress and Policy,2017,34(6):7-14.
Authors:Ma Teng  Li Chong
Institution:1.School of Economics and Management,Tongji University,Shanghai 201804,China;2.Chengdu Urban and Rural Construction Commission,Chengdu 610094,China
Abstract:Innovation networks system has become one of the hotspots in field of innovation, Technology broker is bridge to achieve the optimal matching between technical requirements and technical inputs in different enterprises or organizations, Interdependent networks integrate the innovation networks, the technology broker networks and the technical service networks as an organic entirety, This article builds the interdependent network robustness cascade failure model about the innovation network which considering the node load,The result shows that the system is robust if the "a" is higher,In the random faiure model,random network' efficiency is better than other two networks; In the priority failure model, the whole network will failure as long as a part of organization node failure,This article provides a new research idea and perspective for designing the innovation network structure,adopting the key innovation node redundancy mechanism which has certain explorated significance and practical value.
Keywords:Innovation Network  Technology Broker  Interdependent Networks  Robustness  
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