生成式人工智能领先企业专利布局实证分析——基于复杂网络分析与K均值聚类算法  

Empirical Analysis of Patent Layout of Leading Generative Artificial Intelligence Companies Based on Complex Network Analysis and K-means Clustering Algorithm

作　　者：高山行[1] 王慧 杨张博[2] Gao Shanxing;Wang Hui;Yang Zhangbo(School of Management,Xi'an Jiaotong University;School of Humanities and Social Science,Xi'an Jiaotong University,Xi'an 710049,China)

机构地区：[1]西安交通大学管理学院 [2]西安交通大学人文社会科学学院,陕西西安710049

出　　处：《科技进步与对策》2025年第4期55-66,共12页Science & Technology Progress and Policy

基　　金：国家社会科学基金重点项目(20AGL004);国家自然科学基金面上项目(72372127);中央高校基本科研业务费(人文社科类)专项(SK2023039)。

摘　　要：生成式人工智能(AIGC)技术对经济社会发展带来巨大挑战,现有研究多从技术规制、发展历程等方面展开,较少对AIGC领先企业专利布局进行深入分析。选取美国AIGC领域领先的14家初创公司和4家科技巨头,基于复杂网络分析方法和机器学习的K均值聚类算法,利用专利IPC信息构建专利知识网络。研究发现,美国AIGC领先企业的专利布局聚焦于电数字数据处理、图形数据读取及呈现等技术领域;从专利布局知识宽度、知识深度、知识紧密程度、知识分离程度和知识一致性程度进行聚类,企业可分为三类,即专业玩家、大厂/领先者和创新者。同时,识别不同企业的核心知识领域和桥接知识领域,最后从算法、算力和数据方面为我国发展AIGC产业提出政策建议。The emergence of artificial intelligence-generated contents(AIGC)technology has posed great challenges to the economy and society.Most of the existing research discusses aspects of technical regulation and development history;few empirical studies are conducted on the patent layout of AIGC leading enterprises.This paper aims to direct its attention towards the comprehensive examination and scrutiny of the patent layout of enterprises at the forefront of AIGC in the United States.To accomplish this objective,this paper selects 14 leading startups and 4 technology giants in the field of AIGC in the United States to analyze their patent IPC network.Intricate network analysis methods and K-means clustering algorithms are employed.It is found that the patent layout of AIGC emerging enterprises in the United States focuses on technical fields such as electrical digital data processing,graphic data reading and presentation.Patent layout is analyzed by knowledge width,knowledge depth,knowledge cohesion,knowledge fragment level and knowledge consistency clustering.Through this meticulous study,a profound understanding of the patent layout is achieved,leading to the identification of three distinct categories:professional players,technology giants and leaders,and innovators.Professional players refer to AIGC companies that have a focused and specialized patent layout,indicating a deep understanding and expertise in specific technical fields.Technology giants and leaders are AIGC enterprises that have established themselves as industry leaders,with a patent layout that reflects their dominance and influence in the field.Innovators are AIGC startups that demonstrate a unique and novel approach in their patent layout,showcasing their ability to introduce new ideas and technologies to the AIGC industry.These categories provide invaluable insights into the diverse strategies implemented by the aforementioned enterprises.Furthermore,an in-depth exploration of the patent core knowledge areas and bridging knowledge areas is conduc

关 键 词：生成式人工智能 AIGC 复杂网络 专利布局 K均值聚类 

分 类 号：G306[文化科学]