| 基于专利引证网络的技术进化路线分析——以数据挖掘领域为例 |
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| 引用本文： | 许琦,顾新建,陈芨熙.基于专利引证网络的技术进化路线分析——以数据挖掘领域为例[J].科研管理,2013,0(2):27-35. |
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| 作者姓名： | 许琦 顾新建 陈芨熙 |
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| 作者单位： | 1. 浙江大学现代制造工程研究所, 浙江 杭州 310027;2. 台州职业技术学院机电一体化技术实验室, 浙江 台州 318000 |
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| 基金项目： | 国家自然科学基金重点项目:经济结构转型、研发网络化情境下企业技术创新能力演化规律研究(71132007,2012.01-2016.12);国家自然科学基金项目:智慧的低碳设计和制造一体化技术及系统研究(51175463,2012.01-2015.12);浙江省教育技术规划课题:网格环境下基于元数据的教学资源库建设(JB020,2011.05-2012.05)。 |
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| 摘 要： | 应用搜索路径连接统计法和搜索路径节点对统计法计算引证路径的连接度,提出了一种基于专利引证网络的技术进化路线提取算法。从美国专利数据库中采集了5073项1975年至1999年授权的数据挖掘领域的相关专利,分析了专利的地区分布情况和年度分布情况。从专利数据集NBER中查询得到专利引证关系,利用网络分析软件Pajek构建专利引证网络,提取了数据挖掘领域的技术进化路线。由实验结果可知,技术进化路线包含创新、扩散和突破,是一个渐进式创新和根本性突破相结合的过程。根据专利内容将主要进化轨迹分为三段,从继承性和延续性的角度分析了各阶段技术的发展情况。最后对下一步的研究工作进行了展望。
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| 关 键 词： | 技术进化路线 专利引证网络 连接度分析 数据挖掘 |
| 收稿时间： | 2011-08-08 |
Technological evolutionary trajectories based on patent citation network-By taking data mining domain as example |
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| Xu Qi,Gu Xinjian,Chen Jixi.Technological evolutionary trajectories based on patent citation network-By taking data mining domain as example[J].Science Research Management,2013,0(2):27-35. |
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| Authors: | Xu Qi Gu Xinjian Chen Jixi |
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| Institution: | 1. Institute of Manufacturing Engineering, Zhejiang University, Hangzhou 310027, China;2. Laboratory of Mechanotronics Technology, Taizhou Vocational and Technical College, Taizhou 318000, China |
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| Abstract: | Search path link count and search path node pair are applied to calculate the connectivity of citation path and a technological evolutionary trajectory extraction algorithm based on patent citation network is put forward. The 5,073 patents related to data mining which were granted during the period of 1975-1999 from database of United States Patent and Trademark Office are collected. The geographical distribution and annual distribution of the patents are analyzed. By querying the patent data set of NBER to get patent citation relations and the network analysis software of Pajek is used to build a patent citation network. The technological evolutionary trajectories of data mining domain are extracted. The experimental results show that the trajectories include innovation, diffusion, and breakthrough. It is a process combining incremental innovation with fundamental breakthrough. From the perspective of patent content, the top evolutionary path is divided into three sections. The technological development of each section is analyzed based on inheritance and continuity. Finally, the further research work is prospected. |
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| Keywords: | technological evolutionary trajectory patent citation network connectivity analysis data mining |
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