Social network structure of a large online community for smoking cessation.
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...
| Publicado en: | American Journal of Public Health Vol. 100; no. 7; pp. 1282 - 1290 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
American Public Health Association
Jul2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105039157&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105039157 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Jul2010 vid: 100 iid: 7 pid: 44 pub: American Public Health Association place: Washington, District of Columbia artinfo: ui: 105039157 52020808 2010697184 10.2105/AJPH.2009.165449 NLM20466971 105039157 ppf: 1282 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Social network structure of a large online community for smoking cessation. aug: au: Cobb NK Graham AL Abrams DB affil: Schroeder Institute for Tobacco Research and Policy Studies, Washington, DC 20036, USA. ncobb@americanlegacy.org sug: subj: Computers and Computerization Utilization Smoking Cessation Social Networks Evaluation Adult Chi Square Test Data Analysis Software Data Analysis, Statistical Descriptive Statistics Female Funding Source Human Logistic Regression Male Middle Age P-Value Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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