Emerging Scientific Field Detection Using Citation Networks and Topic Models—A Case Study of the Nanocarbon Field

Emerging Scientific Field Detection Using Citation Networks and Topic Models—A Case Study of the Nanocarbon Field

In fields with high science linkage, such as the nanocarbon field, trends in academic papers are particularly important for identifying future technological trends. The use of the number of citations allows us to predict the qualitative trends on a paper-by-paper basis. At the same time, it is neces...

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Bibliographic Details
Main Authors: Hajime Sasaki, Bunshi Fugetsu, Ichiro Sakata
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied System Innovation
Subjects:
nanocarbon
emerging research
citation network
topic model
machine learning
innovation management
Online Access:https://www.mdpi.com/2571-5577/3/3/40

Internet

https://www.mdpi.com/2571-5577/3/3/40

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