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Scientometrics

, Volume 121, Issue 1, pp 137–172 | Cite as

An integrated solution for detecting rising technology stars in co-inventor networks

  • Lin Zhu
  • Donghua Zhu
  • Xuefeng WangEmail author
  • Scott W. Cunningham
  • Zhinan Wang
Article

Abstract

Online patent databases are powerful resources for tech mining and social network analysis and, especially, identifying rising technology stars in co-inventor networks. However, it’s difficult to detect them to meet the different needs coming from various demand sides. In this paper, we present an unsupervised solution for identifying rising stars in technological fields by mining patent information. The solution integrates three distinct aspects including technology performance, sociability and innovation caliber to present the profile of inventor, meantime, we design a series of features to reflect multifaceted ‘potential’ of an inventor. All features in the profile can get weights through the Entropy weight method, furthermore, these weights can ultimately act as the instruction for detecting different types of rising technology stars. A K-Means algorithm using clustering validity metrics automatically groups the inventors into clusters according to the strength of each inventor’s profile. In addition, using the nth percentile analysis of each cluster, this paper can infer which cluster with the most potential to become which type of rising technology stars. Through an empirical analysis, we demonstrate various types of rising technology stars: (1) tech-oriented RT Stars: growth of output and impact in recent years, especially in the recent 2 years; active productivity and impact over the last 5 years; (2) social-oriented RT Stars: own an extended co-inventor network and greater potential stemming from those collaborations; (3) innovation-oriented RT Stars: Various technical fields with strong innovation capabilities. (4) All-round RT Stars: show prominent potential in at least two aspects in terms of technical performance, sociability and innovation caliber.

Keywords

Rising technology stars Co-inventor networks Social potential Technology performance Innovation caliber Tech mining 

Notes

Acknowledgements

This work is supported by the General Program of the National Natural Science Foundation of China (Grant Nos. 71673024, 71774012). The findings and observations in this paper are those of the authors and do not necessarily reflect the views of our supporters. The authors would like to thank colleagues from the Beijing Institute of Technology and Delft University of Technology. The authors would like to thank Yali Qiao for participating in the discussion of retrieval formulation in the process of data collection, the authors would also like to thank Scott W. Cunningham for providing the revision suggestions during Lin Zhu’s visit as a visiting scholar at Delft University of Technology.

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2019

Authors and Affiliations

  1. 1.School of Management and EconomicsBeijing Institute of TechnologyBeijingChina
  2. 2.Faculty of Technology, Policy and ManagementDelft University of TechnologyDelftThe Netherlands

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