江苏省生物医药领域创新知识流动网络分析：基于专利引用数据

A Study on Characteristic of Flow of Biomedical Innovation Knowledge in Jiangsu Province

摘要:

通过社会网络分析方法对江苏省生物医药领域专利数据进行分析，揭示了生物医药创新知识流动特征。通过网络整体性分析、个体网络分析、网络中心性以及网络结构洞分析，对江苏省生物医药产业的专利引用和创新知识流动进行研究。研究结果显示，江苏省生物医药专利的引用表现出较为明显的子群特征，高校在生物医药专利技术中占有重要的地位，并承担着重要的知识流动桥梁作用，特别是中国药科大学表现出明显的结构洞特征。

关键词:专利引用;生物医药;网络分析;知识流动

Abstract:

This paper analyze patent data in the field of biomedicine in Jiangsu Province through social network analysis ,study the characteristics of the flow of biomedical innovation knowledge. This study pay attention to patent citation and innovative knowledge flow in the biomedical industry in Jiangsu Province through network integrity analysis, individual network analysis, network centrality, and network structure hole analysis.The results show that the citation of biomedical patents exhibits relatively obvious subgroup characteristics, Universities occupy an important position in biomedical patent technology and assume an important role as a bridge for knowledge flow, especially China Pharmaceutical University has obvious structural hole features.

Key words:Patent citation;Biomedicine;Network Analysis;Knowledge Flow