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| Measuring Diffusion of Technology Topics with Patent Data |
Wang Li,Liu Xiwen( ) |
National Science Library, Chinese Academy of Sciences, Beijing 100190, China
Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China |
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Abstract [Objective] This paper tries to quantify the diffusion of technology topics based on patent data, aiming to predict their dissemination in advance. [Methods] First, we constructed the technology diffusion relationship with the patent citation data. Then,we constructed a comprehensive measuring index for technology diffusion from their strength, speed and breadth. Finally, we built the model measuring technology topic diffusion. [Results] We examined our model with 100 topics in the graphene field, which quickly identified topics with high comprehensive diffusion scores. We also found the diffusion directions of graphene patents. [Limitations] We only normalized three measuring indice for technology diffusion with Min-Max Scaling, while their weights not beening optimized for the applications. [Conclusions] The proposed model could help us find intelligence effectively with the help of multiple measurements.
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Received: 27 August 2021
Published: 28 July 2022
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| Fund:National Science and Technology Library(2021XM59) |
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Corresponding Authors:
Liu Xiwen
E-mail: liuxw@mail.las.ac.cn
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