多维度创新路径识别与发现研究

Recognizing and Discovering Innovation Path Multi-dimensionally

基于科技文献,将文献计量学与社会网络分析技术相结合,把文献计量学的通用指标量化为创新路径识别与发现的模型因子,立体、多维度地识别与发现创新路径。利用共词关系、共引关系、合作关系的网络演化作为研究视角,搭建共现关系分析平台,从三个维度分别揭示:创新热点的涌现、发展、漂移;创新知识的创造、扩散、继承;创新主体的动态演化,实现创新路径的多维度识别与发现,从而揭示创新发展过程、优化创新路径以及提升创新能力。选择盐湖资源开发利用领域作为实证研究的对象,对该领域创新热点的动态演化、创新知识的扩散路径和创新主体的演化现状进行了量化测度。

Based on scientific literature,the paper quantifies the general indicators of bibliometrics to model factors for identifying and discovering innovation path multi-dimensionally.From the perspective of network evolution of co-words,co-citation and institute collaboration,a platform for co-occurrence relation analysis was built to reveal the emerging,developing and drifting of research focus;the creating,diffusing and inheriting of innovation knowledge;and dynamic evolution of innovation subjects.Thus,innovation path was recognized and discovered visually and multi-dimensionally,whereas innovation development was explored as well,and innovation capability upgraded by optimizing innovation path.Empirical study was carried out,taking salt lake resources exploration as an example.Dynamic evolution of research focus,diffusion path of innovation knowledge and evolution of innovation subjects in this domain were demonstrated through quantitative analysis.