[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.
Kang Xudong
,
Jia Xiyue
,
Deng Lele
,
Yang Zhongkai
. Research on the Characteristics of High-impact Patent Knowledge Diffusion Based on All Generation Citation Network[J]. Library and Information Service, 2022
, 66(22)
: 83
-94
.
DOI: 10.13266/j.issn.0252-3116.2022.22.008
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