This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2490) COVID-19 Vaccination (164) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1771) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1085) Infodemiology and Infoveillance (1443) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1530) Vaccination and Immunization in the Digital Age (397)

Published on in Vol 24, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40701, first published .
Opinion Leaders and Structural Hole Spanners Influencing Echo Chambers in Discussions About COVID-19 Vaccines on Social Media in China: Network Analysis

Opinion Leaders and Structural Hole Spanners Influencing Echo Chambers in Discussions About COVID-19 Vaccines on Social Media in China: Network Analysis

Opinion Leaders and Structural Hole Spanners Influencing Echo Chambers in Discussions About COVID-19 Vaccines on Social Media in China: Network Analysis

Authors of this article:

Dandan Wang1, 2, 3, 4 Author Orcid Image ;   Yadong Zhou5 Author Orcid Image ;   Feicheng Ma1, 3, 4 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Xian X, Neuwirth R, Chang A. Government-Nongovernmental Organization (NGO) Collaboration in Macao’s COVID-19 Vaccine Promotion: Social Media Case Study. JMIR Infodemiology 2024;4:e51113 View
  2. Yin J. Vaccine Hesitancy in Taiwan: Temporal, Multilayer Network Study of Echo Chambers Shaped by Influential Users. Online Journal of Public Health Informatics 2024;16:e55104 View
  3. Yan X, Li Z, Cao C, Huang L, Li Y, Meng X, Zhang B, Yu M, Huang T, Chen J, Li W, Hao L, Huang D, Yi B, Zhang M, Zha S, Yang H, Yao J, Qian P, Leung C, Fan H, Jiang P, Shui T. Characteristics, Influence, Prevention, and Control Measures of the Mpox Infodemic: Scoping Review of Infodemiology Studies. Journal of Medical Internet Research 2024;26:e54874 View
  4. Oană I, Hâncean M, Perc M, Lerner J, Mihăilă B, Geantă M, Molina J, Tincă I, Espina C. Online Media Use and COVID-19 Vaccination in Real-World Personal Networks: Quantitative Study. Journal of Medical Internet Research 2024;26:e58257 View
  5. Gardasevic S, Jaiswal A, Lamba M, Funakoshi J, Chu K, Shah A, Sun Y, Pokhrel P, Washington P. Public Health Using Social Network Analysis During the COVID-19 Era: A Systematic Review. Information 2024;15(11):690 View
  6. Wang R, Pan X, Zhang W. How News Recommendation System Effects User’s Individual and Aggregate Topic Diversity—A Study of Simulation Analysis. International Journal of Human–Computer Interaction 2024:1 View
  7. Liu J, Li J, Wang T, Wu Y, Liu X, Gao X, Zhou Z, Zhou H. Interoception as a key node in the multidimensional psychological structural model of depression: a structural equation model analysis of integrating environmental, cognitive and behavioral-emotional factors. BMC Psychiatry 2025;25(1) View
  8. Hartmann D, Wang S, Pohlmann L, Berendt B. A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes. Journal of Computational Social Science 2025;8(2) View

Books/Policy Documents

  1. Mahafzah A, Sallam M, Bakri F, Mubarak M. The COVID-19 Aftermath. View