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基于社会网络分析的浙江省县域创新网络特征研究 被引量:6

Research on the Characteristics of County Innovation Network in Zhejiang Province Based on Social Network Analysis
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摘要 新时代背景下创新是解决新矛盾的第一动力。基于熵权法思想对2005、2011、2017年浙江省县域创新能力进行评价,并以此作为空间创新联系的基础对浙江省县域创新空间联系进行测度,结合社会网络分析理论对创新网络进行密度、节点、子群等分析。研究结果表明:浙江省县域创新能力呈现阶梯式分布,差异明显,创新网络密度较低,各县市创新联系程度、联系频率较低,不利于知识技术的传播与扩散;浙江省县域创新发展的扩散效应远低于回波效应,而且创新能力的点出度中心势下降趋势明显;浙江省内区域创新联系水平分为4个子群,群内成员变动不大,以杭州为中心的第一子群和以宁波为中心的第二子群的内部密度较大,同时第一子群与第二子群间的联系也是最频繁的。 In the new era,innovation is the first driving force to solve new contradictions.Therefore,based on the idea of entropy weight method,this paper evaluates the innovation ability of county in Zhejiang province in 2005,2011 and 2017,and uses it as the basis of space innovation contact.The measurement of county innovation space in Zhejiang is carried out,and the density,nodes and subgroups of the innovation network are analyzed based on social network analysis theory.The research results show that the innovation ability of the county in Zhejiang is distributed step by step,the difference is obvious,the network density of innovation is low,the degree and frequency of innovation in each county and city are low,which is not conducive to the dissemination and diffusion of knowledge and technology;the diffusion effect of innovation development in Zhejiang is much lower than echo effect,and the central trend of innovation ability is obviously decreased;the innovation contact level of Zhejiang is divided into 4 subgroups,the group members are not changed much,the first subgroup with Hangzhou as the center and the second subgroup with Ningbo as the center have a large internal density,and the connection between the first subgroup and the second subgroup is also the most frequent.
作者 张景帅 唐根年 Zhang Jingshuai;Tang Gennian(College of Economics,Zhejiang University of Technology,Hangzhou 310012,China)
出处 《科技管理研究》 CSSCI 北大核心 2020年第2期123-129,共7页 Science and Technology Management Research
基金 浙江省软科学重点项目“众创空间组织机理、适配运作模式及其匹配支撑体系研究”(2017C25016)
关键词 引力模型 社会网络分析 创新空间联系 中心势 子群 gravity model social network analysis innovative spatial connection central potential subgroup
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