基于社会网络分析的浙江省县域创新网络特征研究
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浙江工业大学

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F299.21

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[1]浙江省科技厅软科学重点项目:“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)


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,故本文基于熵权法的思想对2005年、2010年、2015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,在上述基础上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,县域创新能力差异明显;浙江省县域创新网络密度较低,各县市创新联系程度、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”,而且浙江省县域创新能力点出度中心势下降趋势明显;浙江省创新联系水平分为四个子群,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。

    Abstract:

    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, 2010 and 2015, and uses it as the basis of space innovation contact. The measurement of county innovation space in Zhejiang Province is carried out, and the density, nodes and subgroups of the innovation network are analyzed based on the above-mentioned social network analysis theory. The research results show that the innovation ability of county area in Zhejiang Province is stepped, and the innovation ability of county area is obviously different. The density of innovation networks in county counties in Zhejiang Province is low, and the degree of innovation and frequency of innovation in all counties and cities is low, which is not conducive to the spread and spread of knowledge and technology. The “diffusion effect” of county-level innovation linkages in Zhejiang Province is far lower than the “echo effect”, and the trend of the county’s county-level innovation capacity point is obviously decreasing. The innovation contact in Zhejiang Province is divided into four subgroups, and the members within the group have not changed much. The first subgroup with Hangzhou as the center and the second subgroup with Ningbo as the center have greater internal density, and the first subgroup and the second The connections between subgroups are also the most frequent.

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张景帅,唐根年.基于社会网络分析的浙江省县域创新网络特征研究[J].,2020,40(2).

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  • 收稿日期:2019-03-13
  • 最后修改日期:2020-01-11
  • 录用日期:2019-04-18
  • 在线发布日期: 2020-02-17
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