摘要：据世界知识产权组织报告，专利是世界上最大的技术信息源，包含了全球R&D产出的90%以上。本研究选择世界500强工业企业为对象，基于专利计量方法，利用Jaccard系数构建500强工业企业的大型专利共被引强度矩阵，结合社会网络分析，绘制领军企业的专利共被引网络图谱，评估企业的技术水平、识别企业在同行业中的核心竞争力与技术竞争态势、分析不同行业之间技术发展的联系。

Abstract: According to the report of World Intellectual Property Organization(WIPO), almost 90-95% of the world’s R&D outcomes are covered in patent publications. The industrial enterprises of Fortune 500 are selected as research objects, based on patent bibliometrics method, the patent co-citation strength matrix of enterprises are built using Jaccard coefficient. Combining with social network analysis, the patent co-citation network of leading enterprises is mapped in order to evaluate the enterprises’ technology level, to identify their core technical competitive power and the whole competitive situation of technology fields, and to analyze technology association among different fields.