一种技术演化路径识别方法:集成图嵌入和路径分析  

Identifying Technological Evolution Paths with Graph Embedding and Path Analysis

作　　者：翟东升[1] 翟亮 梁国强 赵凯 Zhai Dongsheng;Zhai Liang;Liang Guoqiang;Zhao Kai(College of Economics and Management,Beijing University of Technology,Beijing 100124,China)

机构地区：[1]北京工业大学经济与管理学院,北京100124

出　　处：《数据分析与知识发现》2025年第2期120-133,共14页Data Analysis and Knowledge Discovery

基　　金：国家自然科学基金青年项目(项目编号:72204014);北京市自然科学基金面上项目(项目编号:9232002)的研究成果之一。

摘　　要：【目的】为充分挖掘特定领域的关键技术及分支,全面揭示其技术演化轨迹,提出一种集成图嵌入和路径分析的技术演化路径识别方法。【方法】开发无监督图嵌入模型,将专利结构关系、文本及节点信息传递、聚合的知识等特征,融合为多维语义向量,用于拓展技术路径的同时提升社区划分效果;从网络拓扑和语义关联视角,提出主路径及衍生路径的拓展方法,并构建技术衔接点测度指标,识别路径上具有发展潜力技术领域。【结果】在无人机飞行控制系统技术的实证中,识别出4个子领域的技术演化路径及分支,并发现该领域中模式识别技术、多处理器和数据融合技术具备良好的发展前景。【局限】暂未将技术演化模式的形成机制因素纳入识别框架中。【结论】集成图嵌入和路径分析的方法在路径拓展效果、应用普适性等方面具有一定优势。[Objective]This study proposes a method for identifying technological evolution paths and explores key technologies and branches in specific domains.It aims to reveal the evolution trajectories of technology.[Methods]Firstly,we devised an unsupervised graph embedding model to integrate patent structural relationships,text and node information propagation,and aggregated knowledge into multi-dimensional semantic vectors.This approach expanded the technological paths while improving community division effectiveness.Secondly,we proposed methods for expanding the main path and derivative paths from the perspective of network topology and semantic correlation.Finally,we constructed a metric for technological junction points to identify the promising fields.[Results]We examined the new method with drone flight control system technology and identified four subfields'technological evolution paths and branches.We found that pattern recognition,multiprocessor,and data fusion technologies hold promising prospects.[Limitations]Our identification framework does not incorporate the formation mechanism of technological evolution patterns.[Conclusions]The proposed method demonstrates significant advantages in path expansion effectiveness and application versatility.

关 键 词：图嵌入模型 多维语义向量 网络社区划分 拓展方法 技术衔接点 

分 类 号：G353[文化科学—情报学] G206