Abstract Studying the distribution of the patent cooperation networks from the perspective of assignees provides a very important reference to improve the analysis of the market situation, master the layout of industrial technology and seek partners or mergers and acquisitions. This study uses the Derwent patent database and the patent metric approach to investigate the cooperative network structure of the assignees. The overall patent output in the artificial intelligence field on a global scale exhibited a rapid growth, and the proportion of cooperative patents significantly increased; the cooperation structure between the assignees was loose, and the innovation efficiency was low.

中文翻译：

---

基于受让人的全球人工智能技术专利合作网络分析

摘要 从受让人的角度研究专利合作网络的分布，对于提高对市场形势的分析、掌握产业技术布局、寻找合作伙伴或并购等具有重要的参考意义。本研究使用德温特专利数据库和专利度量方法来调查受让人的合作网络结构。全球范围内人工智能领域整体专利产出呈现快速增长，合作专利占比显着提升；受让人之间的合作结构松散，创新效率低。