摘要
[目的/意义]基于专利的全代引证网络对专利进行分类,对高影响力专利的知识扩散特征进行分析,为专利影响力的认识和评估提供重要参考。[方法/过程]以生物学家悉尼·布伦纳的专利为例,研究其专利和前向引证专利生成的专利全代引证网络,根据专利的直接引证数量和引证长度两个对专利扩散发挥重要作用的因素将专利分为四类,将具有高被引数量长引证路径的专利定义为高影响力专利,对这种专利的知识扩散特征进行分析。[结果/结论]研究发现,在专利的全代引证网络中"关键专利""重要专利"和"隐藏的高影响力专利"对专利的扩散影响巨大,全代引证网络中专利的领域变化也体现了知识的流动现象,知识扩散速度可以通过数字直接刻画专利时序网络特点。结合研究结果,对高影响力专利的特点有了更具体的认识,并为高影响力专利的评价提出新的思路。
[Purpose/Significance]Based on all generation citation network of patents,this paper classifies patents and analyzes the characteristics of knowledge extension of high-impact patents,which provides important reference for the understanding and evaluation of patent influence.[Method/Process]Take the patents of Sydney Brenner,a biologist,as an example,to study the patent all-generation citation network generated by its patents and forward citation patents,according to the two factors that play an important role in the diffusion of patents,the number and length of direct citation of patents,the patents could be divided into four categories,the patents with high citation counts and long citation paths were defined as high-impact patents,and the characteristics of knowledge diffusion of this kind of patents were analyzed.[Result/Conclusion]This paper finds that"key patents","important patents"and"hidden high-impact patents"have a significant impact on the diffusion of patents in all generation citation network of patents,the domain change of patents in all generation citation networks also reflects the flow of knowledge,and the speed of knowledge diffusion can directly describe the characteristics of patent time series networks through numbers.Combined with the research results,we have a more specific understanding of the characteristics of high-impact patents,and put forward new ideas for the evaluation of high-impact patents.
作者
康旭东
贾汐玥
邓乐乐
杨中楷
Kang Xudong;Jia Xiyue;Deng Lele;Yang Zhongkai(Discipline Construction Office,Dalian University of Technology,Dalian 116024;Institute of Science of Science and S&T Management,Dalian University of Technology,Dalian 116024)
出处
《图书情报工作》
CSSCI
北大核心
2022年第22期83-94,共12页
Library and Information Service
基金
国家社会科学基金项目"高校专利技术转移的实现机理及推进策略研究"(项目编号:18BGL038)研究成果之一。
关键词
全代引证
直接引用
间接引用
知识扩散
all generation citation
direct citation
indirect citation
knowledge diffusion
