摘要
文章主要对期刊被专利共同引用而形成期刊—专利引用网进行分析,探索支撑技术创新的基础学科知识。通过采集D01F技术领域专利数据,提取被专利引用的期刊信息,基于共被引与社会网络结构原理,按时间段构建期刊—专利引用网,并对其进行分析。基于整体网内部的相对距离,分析时间线上网络内部凝聚子群的聚类现象及其随时间的变化规律,发现技术创新底层的重要基础学科知识,并概括期刊所表征的基础学科知识对技术创新的贡献特征。
This paper mainly analyzes the journal-patent citation network which is formed by the co-cited of journals for pa- tents, and explores the fundamental science knowledge for technology innovation. By collecting patent data in DO1 F technical area, the paper extracts information of journals cited by patents. Based on the theory of co-cited and social network structure, the paper builds and analyzes the journal-patent citation network according to time period. On the basis of relative distance within the whole network, the paper analyzes the clustering phenomenon and its changing rules of cohesive subgroup within network on timeline, finds the important fundamental science knowledge of technology innovation and summarizes its contribution features for technology innovation.
出处
《情报理论与实践》
CSSCI
北大核心
2014年第5期64-68,共5页
Information Studies:Theory & Application
基金
国家社会科学基金项目"复杂语境下专利引用行为机制与专利引文评价的相关性研究"的成果
项目编号:2013BTQ056
关键词
专利引文分析
期刊
技术创新
patent citation analysis
journal
technology innovation