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| Review of Data Analysis Methods in Measuring Technology Fusion and Trend |
Li Shuying, Fang Shu( ) |
| Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041, China |
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Abstract [Objective] This paper reviews literature on technology convergence/fusion, aiming to explore research progress in the field and provide reference for further studies. [Coverage] We retrieved 73 papers in Chinese and English from the Web of Science (WOS), CNKI and other databases using the keywords “Technology Convergence” or “Technology Fusion”. [Methods] We reviewed the concepts of technology convergence/fusion, and related data analysis methods. [Results] We found the number of research on technology convergence/fusion was increasing. Their data analysis methods used patents as indicators, illustrating evolution path with patent citation network, and establishing fusion track with co-classification analysis. [Limitations] More research is needed to compare the hybrid methods. [Conclusions] The data analysis methods for technology convergence/fusion require much optimization, which leaves many knowledge gaps to be filled.
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Received: 02 June 2017
Published: 26 July 2017
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