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| Identification and Role Analysis of Star Inventors: an Empirical Study on Machine Learning Technology |
| Wu Feifei,Li Qian,Huang Lucheng,Li Xin |
| (School of Economics and Management, Beijing University of Technology, Beijing 100124) |
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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.
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Received: 21 January 2019
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