摘要
专利文献的引用行为表达的是技术之间的竞争关系，专利计量方法已经成为企业技术竞争情报研究的一种主要手段。本文选择《财富》杂志（Fortune）2009年评选的世界500强企业作为研究对象，利用《德温特创新索引》数据库中2000～2009年的专利数据，基于社会网络分析中全网络方法的思想，从专利的前向引用分析角度构造企业的全域专利共被引矩阵，然后运用信息可视化技术和社会网络分析方法对世界500强企业进行技术竞争的专利地图分析，包括聚类分布、Kernel插值分布、共被引网络分析，研究500强企业的技术群聚类、技术竞争结构，挖掘技术竞争网络中的关键企业。
Patent citations are generally used to provide support for specific statements of technology competition, when patentometrics has become one kind of main method to analyze competitive technical intelligence for companies. In this paper, the authors choose Fortune 500 enterprises, released in 2009, as research objects. Using patent data （2000 2009） from Derwent Innovation Index, employing full network methods in social network analysis, the authors construct the global patent co-citation matrix of Fortune 500 companies based on the patent forward citation, and conduct patent mapping analysis using information visualization technology and social network analysis method, including clustering distribution, Kernel density, and co-citation network analysis, to study the technology clusters, technology competition structure of Fortune 500, and to find the pivotal enterprises in the technology competition network.
出处
《情报学报》
CSSCI
北大核心
2011年第7期756-764,共9页
Journal of the China Society for Scientific and Technical Information
基金
基金项目：教育部高等学校博士学科点专项科研基金（批准号20090041110001）
国家社会科学基金项目（批准号08BTQ025,10CZX011）.
关键词
前向引用
专利共被引
技术竞争专利地图
全域共被引
forward citation, patent co-citation, technology competition, patent mapping, global co-citation
