Quantitative identification of technological paradigm changes using knowledge persistence.
This paper proposes a method to quantitatively identify the changes of technological paradigm over time. Specifically, the method identifies previous paradigms and predicts future paradigms by analyzing a patent citation-based knowledge network. The technological paradigm can be considered as domina...
Main Authors: | Changbae Mun, Sejun Yoon, Yongmin Kim, Nagarajan Raghavan, Hyunseok Park |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0220819 |
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