Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

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Visualization Analysis of Research Hotspots Based on CiteSpace

Taking Research on Cross-Cultural Adaptation as an Example

Authors
Shuzhou Lin1, 2, Shaowei Xiong1, Li Jia3, *, Lei Li4
1School of Foreign Languages and International Business, Guangdong Mechanical and Electrical Polytechnic, Guangzhou, China
2International College, Macau University of Science and Technology, Macau, China
3School of Humanities and Management, Guangdong Medical University, Dongguan, China
4School of Education, South China Normal University, Guangzhou, China
*Corresponding author. Email: 215759396@qq.com
Corresponding Author
Li Jia
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_58How to use a DOI?
Keywords
Visual analysis; CiteSpace knowledge graph; Bibliometric analysis; Cross-cultural adaptation
Abstract

CiteSpace is a software that visualizes and analyzes trends, patterns, and relationships of scientific literature. This study aims to investigate whether CiteSpace can effectively investigate the research trends and hot topics, and identify the influential articles published in a knowledge domain. Based on CiteSpace, this study takes research on cross-cultural adaptation as an example, systematically analyzed a total of 2192 articles published from 2004 to 2022 retrieved from Web of Science. The findings indicate that 1) betweenness centrality in CiteSpace can be used to evaluate the cooperative relationships among papers, and keywords such as “questionnaire” and “translation” are found to have strong connections with other keywords; 2) Structural Variation Analysis (SVA) can be adopted to examine the changes that a newly published paper brings to the current intellectual structure, and a few papers on the cross-cultural adaptation of medical questionnaire are found to have the potential to become hot topics and research frontiers; 3) in future studies keywords should be narrowed down when using CiteSpace for knowledge mapping.

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 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
978-94-6463-172-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_58How 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  - Shuzhou Lin
AU  - Shaowei Xiong
AU  - Li Jia
AU  - Lei Li
PY  - 2023
DA  - 2023/06/30
TI  - Visualization Analysis of Research Hotspots Based on CiteSpace
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 536
EP  - 544
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_58
DO  - 10.2991/978-94-6463-172-2_58
ID  - Lin2023
ER  -