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

Infodemiology and Infoveillance (1272) Big Data (217) JMIR Theme Issue: COVID-19 Special Issue (2390) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Information Seeking, Information Needs (424) Infectious Diseases (non-STD/STI) (1484) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1012)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27681, first published .
Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing

Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing

Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing

Authors of this article:

Yu Peng Zhu1, 2 Author Orcid Image ;   Han Woo Park2, 3, 4 Author Orcid Image
Article Authors Cited by (8) Tweetations (4) Metrics

Yu Peng Zhu   1, 2 , PhD ;   Han Woo Park   2, 3, 4 , PhD

1 Blockchain Policy Research Center, Cyber Emotions Research Institute, Yeungnam University, Gyeongsan-si, Republic of Korea

2 Department of Media and Communication, Yeungnam University, Gyeongsan-si, Republic of Korea

3 Interdisciplinary Graduate Programs of Digital Convergence Business, Yeungnam University, Gyeongsan-si, Republic of Korea

4 Interdisciplinary Graduate Programs of East Asian Cultural Studies, Yeungnam University, Gyeongsan-si, Republic of Korea

Corresponding Author:

  • Han Woo Park, PhD
  • Department of Media and Communication
  • Yeungnam University
  • 214-1 Dae-dong
  • Gyeongsan-si
  • Republic of Korea
  • Phone: 82 53-810-2275
  • Email: hanpark@ynu.ac.kr