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Using Social Networks to Understand and Prevent Substance Use

A Transdisciplinary Perspective

Bibliographic Data

ID23367477
AuthorsT W Valente (0000-0002-8824-5816, University of Southern California, corresponding author), Peggy Gallaher (University of Southern California), Michele Mouttapa (0000-0002-2902-2065, University of Southern California)
Year2004
Volume39
Issue10-12
Pages1685-1712
Publication date2004-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueSubstance Use & Misuse (JOURNAL)
Journal identifiersISSN: 1082-6084 • E-ISSN: 1532-2491
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1081/ja-200033210
PMID15587948
OpenAlexW2019590033
LanguageEN
Citations received81
References cited59

We review findings from research on smoking, alcohol, and other drug use, which show that the network approaCh is instructive for understanding social influences on substance use. A hypothetical network is used throughout to illustrate different network findings and provide a short glossary of terms. We then describe how network analysis can be used to design more effective prevention programs and to monitor and evaluate these programs. The article closes with a discussion of the inherent transdisciplinarity of social network analysis.

Data science · Glossary · Management science · Network analysis · Perspective (graphical) · Psychiatry · Social network (sociolinguistics) · Social network analysis · Social science · Sociology · Substance use · Transdisciplinarity · Artificial Intelligence · Community Health and Development · Computer Science · Engineering · Mental Health Research Topics · Psychology · Substance Abuse Treatment and Outcomes

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Unique citing works81
Citations per year3,86
Citation span2005 - 2026 (22)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 77

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