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...

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Bibliographic Details
Main Authors: Changbae Mun, Sejun Yoon, Yongmin Kim, Nagarajan Raghavan, Hyunseok Park
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0220819