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

Infodemiology and Infoveillance (1365) Mass Media/Social Media Communication and Campaigns (466) Information Seeking, Information Needs (478) Public (e)Health, Digital Epidemiology and Public Health Informatics (743) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1660) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1049) Knowledge Translation and Implementation Science (406)

Published on in Vol 25 (2023)

This is a member publication of University of Washington

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45897, first published .
A 4D Theoretical Framework for Measuring Topic-Specific Influence on Twitter: Development and Usability Study on Dietary Sodium Tweets

A 4D Theoretical Framework for Measuring Topic-Specific Influence on Twitter: Development and Usability Study on Dietary Sodium Tweets

A 4D Theoretical Framework for Measuring Topic-Specific Influence on Twitter: Development and Usability Study on Dietary Sodium Tweets

Authors of this article:

Lingchao Mao1 Author Orcid Image ;   Emily Chu2 Author Orcid Image ;   Jinghong Gu3 Author Orcid Image ;   Tao Hu4 Author Orcid Image ;   Bryan J Weiner5 Author Orcid Image ;   Yanfang Su5 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Chebil M, Bach Tobji M, Jallouli R. Twitter Opinion Leaders’ Detection (TOLD): A comprehensive approach. Procedia Computer Science 2024;246:1140 View