科技创新政策加权共词网络研究——基于扎根理论与政策测量

The weighted co-word analysis of innovation policies based on grounded theory and policy measurement

基于已有政策共词网络研究基础上,以国家自主创新示范区科技创新政策为研究对象,提出了政策属性与关键词权重在网络分析中的影响和作用,进而引入扎根理论、词频分析和政策测量方法,建构基于政策属性与关键词权重的加权共词网络模型。模型构建之后,利用加权后的Ochiia系数计算关键词之间的距离建构关键词矩阵。基于加权共词矩阵进行结点分析和小团体分析,对比验证加权共词网络模型的可行性,同时在综合视角下展现了自主创新示范区科技创新政策的现状和不足,发现科技金融、产业发展和人才吸引与培养方面还存在改进空间,为后续的政策制定提供参考。

Based on the current situation of co-word network analysis which could be applied to public policy,collected innovation policies from National Innovation Demonstration Zone（ NIDZ） as the research objection,the author discusses the influences and the functions of policies attributes and key words weights in the co-word analysis. Then,the author uses grounded theory,word frequency and policy measurement,to model the weighted co-word analysis based on the weightes of policies and key words. After building up the model of weighted co-word analysis,the author calculates the distances between keywords by weighted Ochiia Inex. Through node analysis and group analysis to validate the weighted co-word model,and to demonstrate the current situation and deficiencies from comprehensive viewing angle,to find technological finance,industry development and talent training still have room to improvement,and to support policy-making in the future.