An empirical analysis of social interaction on tobacco-oriented social networks

Yunji Liang, Xiaolong Zheng, Daniel Dajun Zeng, Xingshe Zhou, Scott Leischow

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


Social media is widely utilized in the tobacco control campaigns. It is a great challenge to evaluate the efficiency of tobacco control policies on social network sites and find gaps among tobacco-oriented social networks. In this paper, we construct three tobacco-oriented social networks according to user interaction on Facebook tobacco-related fan pages. We further investigate the interaction patterns including temporal distribution and interaction patterns to reveal the differences of tobacco-oriented social networks. Our empirical analysis demonstrates that: 1) the user interaction on the pro-tobacco fan pages is more active. Fan pages for tobacco promotion are more successful in obtaining more user attention. 2) The gap between tobacco promotion and tobacco control is widening. These empirical results can provide us significant insights into understanding the evolutionary patterns of social interaction in tobacco-oriented social networks and further help the government departments of tobacco control to make reasonable decisions.

Original languageEnglish (US)
Title of host publicationSmart Health - International Conference, ICSH 2013, Proceedings
Number of pages6
StatePublished - 2013
Event2013 International Conference for Smart Health, ICSH 2013 - Beijing, China
Duration: Aug 3 2013Aug 4 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8040 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2013 International Conference for Smart Health, ICSH 2013


  • Facebook
  • Fan Page
  • Social Network
  • Tobacco
  • User Interaction

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


Dive into the research topics of 'An empirical analysis of social interaction on tobacco-oriented social networks'. Together they form a unique fingerprint.

Cite this