Hot Spots and Frontier Evolution of Acculturation Research in China

CiteSpace Visual Analysis Based on CSSCI (2002–2022)

DOI

10.2991/978-94-6463-238-5_47How to use a DOI?

Keywords

acculturation; CiteSpace; visual analysis technology

Abstract

Based on a sample of 1493 CSSCI source journals included in the CNKI database from 2002–2022, CiteSpace visual analysis technology was applied to identify clusters by extracting keywords and using the log-likelihood ratio (LLR) algorithm to generate clustering labels in the co-citation network. The results indicate that hot spots of research on acculturation in China focus on the areas of acculturation styles, influencing acculturation factors and cross-cultural communication. Future research can explore and discuss the localisation of acculturation theory in depth and focus on the group of Chinese students overseas in order to enhance the integration and application of acculturation research.

Copyright

© 2024 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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TY  - CONF
AU  - Yue Niu
PY  - 2023
DA  - 2023/09/26
TI  - Hot Spots and Frontier Evolution of Acculturation Research in China
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 338
EP  - 347
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_47
DO  - 10.2991/978-94-6463-238-5_47
ID  - Niu2023
ER  -