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Journal of Library and Information Science in Agriculture ›› 2021, Vol. 33 ›› Issue (6): 107-115.doi: 10.13998/j.cnki.issn1002-1248.21-0406

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• Bibliometrics • Previous Articles    

Identification of Technology Transfer Potential Based on Patent Dynamic Characteristics

XU Yi, LI Jing, XU Haiyun, LI Shuying   

  1. Chengdu Library and Information Center, Chinese Academy of Science, Chengdu 610041
  • Received:2021-04-02 Online:2021-06-05 Published:2021-06-15

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Abstract: [Purpose/Significance] Using the dynamic characteristics of patents to identify their potential for technology transfer will help universities and research institutes to carry out patent grading management and operation, and promote the industrialization of patented technologies. [Method/Process] Patent characteristics present dynamic evolution in its life cycle. Based on the dynamic patent citation network, this article constructs a dynamic and static patent technology transfer potential evaluation index system from the perspective of dynamic development; takes the dynamic characteristics of the transferred or licensed patent as the learning object and adopts the decision tree method to establish technology transfer prediction model and conducts an empirical model test. [Results/Conclusions] The influence of patents in the citation network has a greater role in its transfer and conversion potential. The empirical test of the transfer prediction model based on decision trees has a high predictive effect. By monitoring the dynamic characteristics of patents, the model is used to evaluate the transfer and conversion potential in a timely manner and screen out patents that are easy to transfer or license to carry out targeted industrialization operation.

Key words: patent, technology transfer, social network analysis, decision tree

CLC Number: 

  • G255.53
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