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Using Network Embedding to Obtain a Richer and More Stable Network Layout for a Large Scale Bibliometric Network Cover

Using Network Embedding to Obtain a Richer and More Stable Network Layout for a Large Scale Bibliometric Network

Journal of Data and Information Science
Volume 6 (2021): Issue 1 (February 2021)
By: Ting Chen,  Guopeng Li,  Qiping Deng and  Xiaomei Wang  
Open Access
|Dec 2020

Authors

Ting Chen

National Science Library, Chinese Academy of Sciences, Beijing, China
Department of Library, Information and Archives Management, University of Chinese Academy of Sciences, Beijing, China
Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China

Guopeng Li

Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China

Qiping Deng

Library, University of Electronic Science and Technology of China, Chengdu, China

Xiaomei Wang

wangxm@casisd.cn

Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China
DOI: https://doi.org/10.2478/jdis-2021-0006 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 154 - 177
Submitted on: Jul 1, 2020
Accepted on: Oct 20, 2020
Published on: Dec 8, 2020
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Scientometrics,
Visualization,
Essential science indicators,
Bibliometric networks,
Network embedding,
Science mapping
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2020 Ting Chen, Guopeng Li, Qiping Deng, Xiaomei Wang, 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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