Social network structure of a large online community for smoking cessation

Nathan K. Cobb, Amanda L. Graham, David Abrams

Research output: Contribution to journalArticle

Abstract

Objectives. We evaluated the social network structure of QuitNet, one of the largest online communities for behavior change, and compared its characteristics to other known social networks. Methods. Using modern network analysis methods, we identified QuitNet members who were active during a 60-day period, along with their ties. We then derived multiple subgroups, such as key players and integrators, from connections and communication patterns. Results. Among 7569 participants, we identified 103592 connections to other members. Metrics of social network integration were associated with increased likelihood of being female, being older, having been in the system longer, and not smoking. Conclusions. The QuitNet community is a large-scale social network with the characteristics required for sustainability of social support and social influence to promote smoking cessation and abstinence. These characteristics include persistence of members over time, heterogeneity of smoking status, and evidence of rich, bidirectional communications. Some of the influential subgroups we identified may provide targets for future network-level Interventions.

Original languageEnglish (US)
Pages (from-to)1282-1289
Number of pages8
JournalAmerican Journal of Public Health
Volume100
Issue number7
DOIs
StatePublished - Jul 1 2010

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Smoking Cessation
Social Support
Smoking
Communication

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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Social network structure of a large online community for smoking cessation. / Cobb, Nathan K.; Graham, Amanda L.; Abrams, David.

In: American Journal of Public Health, Vol. 100, No. 7, 01.07.2010, p. 1282-1289.

Research output: Contribution to journalArticle

Cobb, Nathan K. ; Graham, Amanda L. ; Abrams, David. / Social network structure of a large online community for smoking cessation. In: American Journal of Public Health. 2010 ; Vol. 100, No. 7. pp. 1282-1289.
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