摘要
[目的/意义]旨在揭示某领域技术发展历程。[方法/过程]在深化、拓展连接度算法基础上,提出一种专利引证主路径分析算法。按照有界深度优先搜索策略,运用搜索路径遍历数测度专利引证路径权重,遵循遍历数局部最优法则,寻找贯穿整个专利引证网络的主路径。在燃料电池领域开展实证研究,采集专利数据和专利引证数据,构建燃料电池领域专利引证网络。应用Pajek作连接度分析,挖掘得到了燃料电池领域的主路径。[结果/结论]极少数专利引证路径聚合绝大多数权重,体现了主路径挖掘效果,验证了本文算法的可行性和有效性。
[Purpose/significance]The paper is to reveal the technology development process of a certain field.[Method/process]On the basis of deepening and expanding the connectivity algorithm,the paper puts forwards a main path analysis algorithm for patent citation.According to the strategy of bounded depth-first searching,the paper uses the traversal number of search path to measure the weight of patent citation path,follows the local optimal rule of traversal number to find the main path through the whole patent citation network.Also,the paper takes fuel cell for example,collects patent data and patent citation data to build a patent citation network in the fuel cell field.At last,the paper obtains the main path of fuel cell field by using Pajek for connection analysis.[Result/conclusion]The results show that,a few patent citation paths aggregate most weights of the patent citation network,which reflects the main path mining effect and verifies the feasibility and effectiveness of the algorithm.
作者
郑皓
许琦
Zheng Hao;Xu Qi(Intellectual Property Alliance of Pump and Motor Industry in Taizhou,Taizhou Vocational and Technical College,Taizhou Zhejiang 318000;Zhejiang Collaborative Innovation Center of Industrial Robot and Intelligent Manufacturing Line Integration Promotion Application,Taizhou Zhejiang 318000)
出处
《情报探索》
2021年第4期22-28,共7页
Information Research
基金
台州市2019年度大学生科技创新项目(一类)“基于数据仓库的专利信息分析系统研究”(项目编号:台教高[2018]202号)
台州职业技术学院2019年度大学生科技创新项目“基于数据仓库的专利信息分析系统研究”(项目编号:2019DKC11)成果。
