%0 Journal Article
%T 基于专利共现网络的关键技术识别研究<br>Research on the Identification of Key Technologies Based on the Patent Co-Occurrence Network
%A 娄金沅
%J E-Commerce Letters
%P 1498-1504
%@ 2168-5851
%D 2025
%I Hans Publishing
%R 10.12677/ecl.2025.143848
%X 关键技术的识别对于国家、企业进行政策制定、创新研发等能够提供一定的情报支撑。本研究利用专利文献的IPC分类号构建专利共现网络&#65292;通过中心性指标识别和筛选排名前TOP 10的关键技术&#65292;并进行技术主题评价。以电子商务系统技术领域为例进行研究&#65292;最终识别出10项电子商务系统关键技术和商业流程数字化(G06Q30)、垂直行业解决方案(G06Q50)、支付体系(G06Q20)以及数据安全(H04L9)四大主要技术方向&#65292;通过对文献和行业报告的调研比对&#65292;初步验证方法的可操作性和有效性。<br>The identification of key technologies can provide certain intelligence support for policy formulation, innovative research and development of countries and enterprises. This study utilizes the IPC classification number of patent literature to construct a patent co-occurrence network, identifies and screens the TOP 10 key technologies through centrality indicators, and conducts technical topic evaluation. Taking the field of e-commerce system technology as an example for research, 10 key technologies and digitalization of business processes (G06Q30), vertical industry solutions (G06Q50), payment systems (G06Q20), and data security (H04L9) were identified as the four main technical directions of e-commerce systems. Through literature review and industry report comparison, the operability and effectiveness of the methods were preliminarily verified.
%K 专利&#65292
%K 关键技术&#65292
%K 专利共现网络&#65292
%K 电子商务系统<br>Patents
%K Key Technologies
%K Patent Co-Occurrence Networks
%K E-Commerce Systems
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=110720