明星发明人识别与角色分析:来自机器学习领域的实证

发布时间：2025-05-07 10:36

明星发明人有助于提高企业研发创新绩效。目前对明星发明人的地位与功能探讨不足，导致企业无法全面掌握发明人信息，难以为研发活动招聘合适的人才。鉴于此，对机器学习领域明星发明人的领导、传播、知识或任务排他等功能和地位进行识别，采用动态网络分析方法确立六类明星发明人，即焦点型发明人、领导型发明人、潜在跨界型发明人、传播型发明人、任务排他型发明人和知识排他型发明人，分析其角色功能。结果表明：部分发明人同时拥有多种地位；领导型、焦点型和知识排他型明星发明人影响范围更广、职业流动性更强，与其他发明人的交互时间更长；隔离同时具有3种地位的明星发明人对焦点型发明人影响显著。

Abstract

Star inventors contribute to enterprises to improve the R&D innovation performance. At present, the research on star inventors lacks analysis of their status and function. Enterprises can not fully understand the information of inventors, which is not conducive to recruiting suitable talents for their R&D activities. This paper proposes to identify the functions and status of the star inventors in the field of machine learning, such as leadership, communication, knowledge or task exclusion. By using dynamic network analysis, we identify the focus inventor, the leading inventor, the potential trans-boundary inventor, the disseminated inventor, the task-exclusive inventor and the knowledge-exclusive inventor and analyze 6 kinds of roles in the machine learning technical field. Our results are threefold: ①some star inventors have multiple roles; ②star inventors with status of leader, focus and knowledge-exclusive have a wider range of effects, higher mobility, a longer duration of interaction with other inventors; ③the isolation of a triple-roles star inventor in the network has a significant impact on the focus inventor.

关键词

/明星发明人, 明星科学家, 角色分析, 动态网络分析, 机器学习

Key words

/Star Inventor, Star Scientist, Role Analysis, Dynamic Network Analysis, Machine Learning

吴菲菲, 李倩, 黄鲁成, 等.

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明星发明人识别与角色分析:来自机器学习领域的实证[J]. 科技进步与对策, 2019, 36(14): 131-140 https://doi.org/10.6049/kjjbydc.2018100249

Wu Feifei, Li Qian, Huang Lucheng, et al.

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Identification and Role Analysis of Star Inventors: an Empirical Study on Machine Learning Technology[J]. Science & Technology Progress and Policy, 2019, 36(14): 131-140 https://doi.org/10.6049/kjjbydc.2018100249

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