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

Analysis of Multi-level Collaborative Relationships in Bibliometrics

Based on Cross-Author, Cross-Region and Cross-Discipline

Authors
Fengyuan Mai1, Zhichao Xu1, *
1School of Literature and Media, Nanfang College Guangzhou, Guangdong, China
*Corresponding author. Email: zhichao.x@outlook.com
Corresponding Author
Zhichao Xu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_107How to use a DOI?
Keywords
Bibliometric; scientific research cooperation; VOSviewer; Cluster analysis; Interdisciplinary communication
Abstract

Bibliometrics studies the distribution structure, quantitative relationship, and change the rule of information of different disciplines, and then obtains the development status and research level of the research field. Based on a total of 1959 pieces of bibliometrics literature in China National Knowledge Infrastructure (CNKI) from 1992 to 2020, this paper analyzes the interdisciplinary and regional cooperation between research institutions and authors in the field of bibliometrics, aiming to illustrate the research status and interdisciplinary exchanges in the field of library and information science in China in the past 30 years. Providing reference and decision-making basis for the domestic scientific community to carry out cooperation and research.

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
10.2991/978-94-6463-064-0_107
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_107How 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

TY  - CONF
AU  - Fengyuan Mai
AU  - Zhichao Xu
PY  - 2022
DA  - 2022/12/27
TI  - Analysis of Multi-level Collaborative Relationships in Bibliometrics
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 1030
EP  - 1039
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_107
DO  - 10.2991/978-94-6463-064-0_107
ID  - Mai2022
ER  -