Social network research hotspots and trends in public health: A bibliometric and visual analysis

被引:10
作者
Shen, Bingjie [1 ]
Guan, Tianjia [1 ]
Ma, Jing [2 ]
Yang, Linghe [1 ]
Liu, Yuanli [1 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Sch Hlth Policy & Management, 46 Xizongbu Hutong, Beijing 100005, Peoples R China
[2] Sichuan Acad Med Sci & Sichuan Prov Peoples Hosp, Act Hlth & Translat Med Ctr, 32 Yihuan Rd, Chengdu 610072, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Social network; Social network analysis; Public health; Bibliometric analysis; Research hotspots; COLLECTIVE DYNAMICS; PERCEIVED NORMS; SMOKING; BEHAVIOR; SPREAD; INJECTORS; OBESITY; IMPACT; ONLINE; TRIAL;
D O I
10.1016/j.puhip.2021.100155
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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 biblio-metric 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.
引用
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页数:7
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