Cited by 210Smoking Behavior and CessationComplex Network Analysis TechniquesSocial Media in Health Education

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Social Network Structure of a Large Online Community for Smoking Cessation

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Cobb, Nathan K., Graham, Amanda L., Abrams, David B.·2010·American Journal of Public Health

DOI 10.2105/ajph.2009.165449PMC PMC2882421

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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 103 592 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.

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Authors: Cobb, N. K., Graham, A. L., & Abrams, D. B.
Affiliations: Johns Hopkins University (US)
ORCID: Cobb, Nathan K.
Graham, Amanda L.
Abrams, David B.
Venue: American Journal of Public Health
Publisher: American Public Health Association
Published: 2010-07
Volume: 100
Issue: 7
Pages: 1282-1289
ISSN: 0090-0036 (ISSN-L)
1541-0048
DOI: 10.2105/ajph.2009.165449
PMC: PMC2882421
OpenAlex: W2031158620
Cited by: 210
References: 46
Citations by year: 2026: 3 · 2025: 4 · 2024: 4 · 2023: 7 · 2022: 6 · 2021: 5 · 2020: 16 · 2019: 6 · 2018: 16 · 2017: 11 · 2016: 32 · 2015: 24 · 2014: 29 · 2013: 21 · 2012: 18
FWCI: 10.18
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: American Journal of Public Health (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Funders: National Heart, Lung, and Blood Institute (T32-HL00787)
National Cancer Institute (R01CA104836)
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Social Sciences › Health › Social Media in Health Education
Keywords: social network structure, network analysis, social support, social influence, smoking cessation, network integration, two-way communication
MeSH terms: Adult, Female, Humans, Male, Middle Aged, Self-Help Groups, Social Support, Systems Theory, Smoking Cessation, Internet

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Social Network Structure of a Large Online Community for Smoking Cessation

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