Knowledge Graph of Emotional Stress Research in the Era of Big Data under the Epidemic - Visual Analysis Based on CiteSpaceV

DOI

10.2991/978-94-6463-042-8_188How to use a DOI?

Keywords

COVID-19; Citespace; Mental health; Negative emotion

Abstract

In the context of COVID-19, this paper uses the CiteSpace knowledge graph analysis tool to sort out and analyze the relevant literature in the field of mental health research brought about by the information impact in the era of big data. Based on the interpretation of the visualization results, the status and hot spots of research in this field were analyzed. Findings: From the key words, mental health, anxiety, stress and negative emotions are the hot spots of academic research; based on this, the literature analysis method is used to innovatively conclude that reduced travel frequency, increased risk perception, information overload and high prevalence intensity are the main causes of emotional stress.

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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TY  - CONF
AU  - Xuan Jiang
AU  - Fang Zou
PY  - 2022
DA  - 2022/12/29
TI  - Knowledge Graph of Emotional Stress Research in the Era of Big Data under the Epidemic - Visual Analysis Based on CiteSpaceV
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 1307
EP  - 1310
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_188
DO  - 10.2991/978-94-6463-042-8_188
ID  - Jiang2022
ER  -