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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (7): 2-12    DOI: 10.11925/infotech.2096-3467.2017.0546
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Review of Data Analysis Methods in Measuring Technology Fusion and Trend
Shuying Li,Shu Fang()
Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041, China
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[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.

Key wordsTechnology Fusion      Technology Convergence      Patent Analysis     
Received: 02 June 2017      Published: 26 July 2017

Cite this article:

Shuying Li,Shu Fang. Review of Data Analysis Methods in Measuring Technology Fusion and Trend. Data Analysis and Knowledge Discovery, 2017, 1(7): 2-12.

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