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

Infodemiology and Infoveillance (1369) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1667) Mass Media/Social Media Communication and Campaigns (466) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

Published on in Vol 18, No 8 (2016): August

Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection

Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection

Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection

Authors of this article:

Didi Surian1 Author Orcid Image ;   Dat Quoc Nguyen2 Author Orcid Image ;   Georgina Kennedy1 Author Orcid Image ;   Mark Johnson2 Author Orcid Image ;   Enrico Coiera1 Author Orcid Image ;   Adam G Dunn1 Author Orcid Image
Article Authors Cited by (117) Tweetations (29) Metrics

Didi Surian   1 , PhD ;   Dat Quoc Nguyen   2 , MSc ;   Georgina Kennedy   1 , MEng ;   Mark Johnson   2 , BSc (Hons), MA, PhD ;   Enrico Coiera   1 , MBBS, PhD ;   Adam G Dunn   1 , PhD

1 Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia

2 Department of Computing, Faculty of Science and Engineering, Macquarie University, North Ryde, New South Wales, Australia

Corresponding Author:

  • Didi Surian, PhD
  • Centre for Health Informatics
  • Australian Institute of Health Innovation
  • Macquarie University
  • Level 6, 75 Talavera Road
  • North Ryde, New South Wales, 2109
  • Australia
  • Phone: 61 +61298502455
  • Fax: 61 +61298502499
  • Email: didi.surian@mq.edu.au