Detecting trends in academic research from a citation network using network representation learning.

Several network features and information retrieval methods have been proposed to elucidate the structure of citation networks and to detect important nodes. However, it is difficult to retrieve information related to trends in an academic field and to detect cutting-edge areas from the citation netw...

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Bibliographic Details
Main Authors: Kimitaka Asatani, Junichiro Mori, Masanao Ochi, Ichiro Sakata
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5962067?pdf=render