Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）

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Research HotSpots and Topic Evolution of Long Tail Theory in China: a CiteSpace Knowledge Graph Analysis

Authors
Chunlan Li1, Qiuying Ma1, *
1College of Economics and Management, Guangxi Normal University, Guilin, Guangxi, China
*Corresponding author. Email: 2532218090@qq.com
Corresponding Author
Qiuying Ma
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-502-7_84How to use a DOI?
Keywords
Long Tail theory; CiteSpace; visualization analysis; hot topics; research frontier
Abstract

The Long Tail Theory posits that given a sufficiently large platform for storage and distribution, the combined market share of niche or low-demand products can rival or even surpass that of a few best-selling items.. This study aims to analyze the research hotspots and thematic evolution of Long Tail Theory in China, providing a reference for both theoretical research and practical applications in the country. Drawing data from China National Knowledge Infrastructure (CNKI) and employing CiteSpace visualization software, this paper conducts a visual analysis of 1,528 relevant documents. The findings suggest that in term of authorship and institutional distribution, cooperation remains dispersed, and a core research cooperation network has yet to form. Research hotspots primarily focus on the themes of “online marketing, libraries, and new media”; while future research tredns are anticipated to concentrate on areas such sa "knowledge payment, sharing economy, and online streaming”.

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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Volume Title
Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
Series
Atlantis Highlights in Computer Sciences
Publication Date
31 August 2024
ISBN
978-94-6463-502-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-502-7_84How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Chunlan Li
AU  - Qiuying Ma
PY  - 2024
DA  - 2024/08/31
TI  - Research HotSpots and Topic Evolution of Long Tail Theory in China: a CiteSpace Knowledge Graph Analysis
BT  - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
PB  - Atlantis Press
SP  - 794
EP  - 803
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-502-7_84
DO  - 10.2991/978-94-6463-502-7_84
ID  - Li2024
ER  -