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Social network research hotspots and trends in public health: A bibliometric and visual analysis
OBJECTIVES: To understand the research landscape and identify the research hotspots and trends of the application of social network theory and analysis to public health. STUDY DESIGN: A bibliometric study of publications regarding application of social network theory and analysis to public health. M...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461482/ https://www.ncbi.nlm.nih.gov/pubmed/36101592 http://dx.doi.org/10.1016/j.puhip.2021.100155 |
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author | Shen, Bingjie Guan, Tianjia Ma, Jing Yang, Linghe Liu, Yuanli |
author_facet | Shen, Bingjie Guan, Tianjia Ma, Jing Yang, Linghe Liu, Yuanli |
author_sort | Shen, Bingjie |
collection | PubMed |
description | OBJECTIVES: To understand the research landscape and identify the research hotspots and trends of the application of social network theory and analysis to public health. STUDY DESIGN: A bibliometric study of publications regarding application of social network theory and analysis to public health. METHODS: Choosing 1607 articles about the application of social network theory and analysis to public health from the core collection database of Web of Science published from 1991 to 2020 as the research sample. A bibliometric and visual analysis of publication quantity and content was performed to analyze time trends, spatial distribution, cooperation networks, influential references, and keyword co-occurrence, clusters, and emergence. RESULTS: There is an increasing trend in the use of social network theory and analysis in the public health field, with the United States taking the lead. Research focuses include on transmission of diseases or behavior through social networks and the influence of social networks on population health at different ages. Current research frontiers primarily include the role of social networks in tracking of emerging infectious diseases like COVID-19, preventing and controlling chronic diseases, and carrying out healthy behavioral interventions. CONCLUSIONS: This study provides a comprehensive quantitative overview of the historic development of and latest topics in the application of social network theory and analysis method to public health. More attention should be paid to the important role of social networks in tracing the emergence of serious infectious diseases like COVID-19, as well as preventing and controlling chronic diseases and intervening in health behaviors, considering the increasing challenges and opportunities presented by online social networking. |
format | Online Article Text |
id | pubmed-9461482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94614822022-09-12 Social network research hotspots and trends in public health: A bibliometric and visual analysis Shen, Bingjie Guan, Tianjia Ma, Jing Yang, Linghe Liu, Yuanli Public Health Pract (Oxf) Original Research OBJECTIVES: To understand the research landscape and identify the research hotspots and trends of the application of social network theory and analysis to public health. STUDY DESIGN: A bibliometric study of publications regarding application of social network theory and analysis to public health. METHODS: Choosing 1607 articles about the application of social network theory and analysis to public health from the core collection database of Web of Science published from 1991 to 2020 as the research sample. A bibliometric and visual analysis of publication quantity and content was performed to analyze time trends, spatial distribution, cooperation networks, influential references, and keyword co-occurrence, clusters, and emergence. RESULTS: There is an increasing trend in the use of social network theory and analysis in the public health field, with the United States taking the lead. Research focuses include on transmission of diseases or behavior through social networks and the influence of social networks on population health at different ages. Current research frontiers primarily include the role of social networks in tracking of emerging infectious diseases like COVID-19, preventing and controlling chronic diseases, and carrying out healthy behavioral interventions. CONCLUSIONS: This study provides a comprehensive quantitative overview of the historic development of and latest topics in the application of social network theory and analysis method to public health. More attention should be paid to the important role of social networks in tracing the emergence of serious infectious diseases like COVID-19, as well as preventing and controlling chronic diseases and intervening in health behaviors, considering the increasing challenges and opportunities presented by online social networking. Elsevier 2021-06-24 /pmc/articles/PMC9461482/ /pubmed/36101592 http://dx.doi.org/10.1016/j.puhip.2021.100155 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Shen, Bingjie Guan, Tianjia Ma, Jing Yang, Linghe Liu, Yuanli Social network research hotspots and trends in public health: A bibliometric and visual analysis |
title | Social network research hotspots and trends in public health: A bibliometric and visual analysis |
title_full | Social network research hotspots and trends in public health: A bibliometric and visual analysis |
title_fullStr | Social network research hotspots and trends in public health: A bibliometric and visual analysis |
title_full_unstemmed | Social network research hotspots and trends in public health: A bibliometric and visual analysis |
title_short | Social network research hotspots and trends in public health: A bibliometric and visual analysis |
title_sort | social network research hotspots and trends in public health: a bibliometric and visual analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461482/ https://www.ncbi.nlm.nih.gov/pubmed/36101592 http://dx.doi.org/10.1016/j.puhip.2021.100155 |
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