Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)

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A Study on the Bibliometric Analysis of Xianggui Southwest Mandarin - Guiliu Branch Based on Co-occurrence Analysis and Log-Likelihood Ratio (LLR) Algorithm

Authors
Dong Huang1, HongLi Deng2, 3, *, JingJing Wang4, *, BaiXue Ning5
1Nanning Normal University, Nanning, Guangxi, China
2School of Liberal Arts, Jinan University, Guangzhou, Guangdong, China
3College of Culture and Communication, Guangxi Science and Technology Normal University, Laibin, Guangxi, China
4College of Vocational and Technical Education, Guangxi Science and Technology Normal University, Laibin, Guangxi, China
5Guangxi Science and Technology Normal University, Laibin, Guangxi, China
*Corresponding author. Email: 361389651@qq.com
*Corresponding author. Email: wangjj1204@126.com
Corresponding Authors
HongLi Deng, JingJing Wang
Available Online 4 July 2023.
DOI
10.2991/978-94-6463-192-0_38How to use a DOI?
Keywords
co-occurrence analysis; minimum spanning tree (MST) algorithm; Guiliu Mandarin; knowledge graph
Abstract

Based on co-occurrence analysis and the Log-likelihood Ratio (LLR) algorithmcan, this paper analyzes the literature of Xianggui Southwest Mandarin - Guiliu Branch by using CiteSpace bibliometrics to generate a visual knowledge graph. This paper makes a systematic analysis on present research situation. The research results suggest that it is uncommon to see studies on Xianggui Southwest Mandarin - Guiliu Branch and cooperation among authors is still very rare. In addition, their study method is simplified, and the literature studies focus on phonology area distribution and pure phonology.

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 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 July 2023
ISBN
10.2991/978-94-6463-192-0_38
ISSN
2667-128X
DOI
10.2991/978-94-6463-192-0_38How 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  - Dong Huang
AU  - HongLi Deng
AU  - JingJing Wang
AU  - BaiXue Ning
PY  - 2023
DA  - 2023/07/04
TI  - A Study on the Bibliometric Analysis of Xianggui Southwest Mandarin - Guiliu Branch Based on Co-occurrence Analysis and Log-Likelihood Ratio (LLR) Algorithm
BT  - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
PB  - Atlantis Press
SP  - 283
EP  - 295
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-192-0_38
DO  - 10.2991/978-94-6463-192-0_38
ID  - Huang2023
ER  -