Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

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Peer-Review Statements

Authors
Guiyun Guan1, *, Bo Qu2, Ding Zhou3
1Northwest Minzu University, Lanzhou, China
2South China University of Technology, Guangzhou, China
3Southern University of Science and Technology, Shenzhen, China
*Corresponding author. Email: 839709195@qq.com
Corresponding Author
Guiyun Guan
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_1How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-064-0
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_1How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Guiyun Guan
AU  - Bo Qu
AU  - Ding Zhou
PY  - 2022
DA  - 2022/12/27
TI  - Peer-Review Statements
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_1
DO  - 10.2991/978-94-6463-064-0_1
ID  - Guan2022
ER  -