摘要
[目的/意义]文章提出一种基于主路径—衍生路径的技术轨迹识别方法,有助于企业把握技术发展新兴方向,推动产业持续高质量发展。[方法/过程]首先,基于AHP-TOPSIS模型识别核心专利,扩展相关专利,构建专利引文网络;其次,借助Girvan-Newman算法提取最大专利引文网络,运用SPNP算法识别最大专利引文网络主路径;然后,借助Girvan-Newman算法结合SPNP算法识别最大专利引文网络衍生路径;最后,基于技术节点分析,从路径特定通用性和路径特定新颖性两个维度,衡量技术轨迹演化特征。[结果/结论]将该方法应用于中药提取技术领域,基于主路径—衍生路径识别的技术轨迹符合中药现代化发展现状,证实该方法的科学性和实用性。
[Purpose/significance]This paper proposes a technological trajectory identification method based on the main path-derived path,which can help enterprises grasp the emerging direction of technology development and promote the sustained high-quality development of industry.[Method/process]Firstly,the patent citation network is built based on the core patents identified by the AHP-TOPSIS model and patents related to the core patents.Secondly,the largest patent citation network is extracted with the Girvan-Newman algorithm,and the main path of the largest patent citation network is identified using the SPNP algorithm.Then,the derivative path of the largest patent citation network is identified by using the Girvan-Newman algorithm combined with the SPNP algorithm.Finally,based on the analysis of technology nodes,the evolution characteristics of technological trajectory are measured from the two dimensions of path-specific generality and path-specific novelty.[Result/conclusion] Applying this method to the field of traditional Chinese medicine extraction technology,the technological trajectory based on the main path-derived path identification conforms to the current development of traditional Chinese medicine modernization,which confirms the scientific and practical nature of the method.
出处
《情报理论与实践》
CSSCI
北大核心
2020年第8期128-133,共6页
Information Studies:Theory & Application
基金
辽宁省重点研发计划指导计划项目(辽宁省科学技术厅)“科技成果转化与保护”的研究成果,项目编号:2017401021。
关键词
技术轨迹
主路径
衍生路径
专利分析
专利引文网络
核心专利
技术识别
technological trajectory
main path
derivative path
patent analysis
patent citation network
core patent
technology identification
