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Social Network Analysis of Peer Effects on Binge Drinking among U.S. Adolescents

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 7812)

Abstract

Adolescent binge drinking is a public health challenge. The study analyzes data from Add Health, a longitudinal survey of seventh through eleventh grade students enrolled between 1995 and 1996. A stochastic actor-based model simulates the co-evolution of binge drinking and friendship connections. Selection effects play a significant role in the creation of peer clusters with similar binge drinking. Friendship nominations between two students with similar binge drinking frequency were 3.46 (95% CI: 2.38-5.01) times more likely than between otherwise identical students with differing alcohol use frequency. An adolescent who nominated binge drinkers as friends was 14% more likely to begin binge drinking than adolescents with non-binge drinking friends. The data demonstrate that strong family ties reduced the odds of adolescent binge drinking by 7%.

Keywords

  • adolescent
  • alcohol
  • agent-based modeling
  • social influence
  • social selection
  • Markov model
  • systems science

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Mundt, M.P. (2013). Social Network Analysis of Peer Effects on Binge Drinking among U.S. Adolescents. In: Greenberg, A.M., Kennedy, W.G., Bos, N.D. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2013. Lecture Notes in Computer Science, vol 7812. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37210-0_14

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  • DOI: https://doi.org/10.1007/978-3-642-37210-0_14

  • Publisher Name: Springer, Berlin, Heidelberg

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