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Node2vec Representation for Clustering Journals and as A Possible Measure of Diversity Cover

Node2vec Representation for Clustering Journals and as A Possible Measure of Diversity

Journal of Data and Information Science
Volume 4 (2019): Issue 2 (May 2019)
By: Zhesi Shen,  Fuyou Chen,  Liying Yang and  Jinshan Wu  
Open Access
|Jun 2019

Authors

Zhesi Shen

National Science Library, Chinese Academy of Sciences, Beijing, P.R.China

Fuyou Chen

National Science Library, Chinese Academy of Sciences, Beijing, P.R.China

Liying Yang

National Science Library, Chinese Academy of Sciences, Beijing, P.R.China

Jinshan Wu

jinshanw@bnu.edu.cn

School of Systems Science, Beijing Normal University, Beijing, P.R.China
DOI: https://doi.org/10.2478/jdis-2019-0010 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 79 - 92
Submitted on: Apr 3, 2019
Accepted on: May 9, 2019
Published on: Jun 7, 2019
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Science mapping,
Diversity,
Graph embedding,
Vector norm
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2019 Zhesi Shen, Fuyou Chen, Liying Yang, Jinshan Wu, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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