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The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports

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  • FUJIMOTO, KAYO
  • WANG, PENG
  • VALENTE, THOMAS W.

Abstract

Self-identification with peer crowds (jocks, popular kids, druggies, etc.) has an important influence on adolescent substance use behavior. However, little is known about the impact of the shared nature of crowd identification on different stages of adolescent drinking behavior, or the way crowd identification interacts with participation in school-sponsored sports activities. This study examines drinking influences from (1) peers with shared crowd identities, and (2) peers who jointly participate in organized sports at their school (activity members). This study introduces a new network analytic approach that can disentangle the effects of crowd identification and sports participation on individual behavior. Using survey data from adolescents in five high schools in a predominantly Hispanic/Latino district (N = 1,707), this paper examines the association between social influences and each stage of drinking behavior (intention to drink, lifetime, past-month, and binge drinking) by conducting an ordinal regression analysis. The results show that both shared identities and joint participation were associated with all stages of drinking, controlling for friends' influence. Additionally, shared identification overlapped with joint participation was associated with more frequent drinking. Related policy implications are discussed.

Suggested Citation

  • Fujimoto, Kayo & Wang, Peng & Valente, Thomas W., 2013. "The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports," Network Science, Cambridge University Press, vol. 1(2), pages 154-169, August.
    • Handle: RePEc:cup:netsci:v:1:y:2013:i:02:p:154-169_00
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    Cited by:

    1. Fujimoto, Kayo & Valente, Thomas W., 2015. "Multiplex congruity: Friendship networks and perceived popularity as correlates of adolescent alcohol use," Social Science & Medicine, Elsevier, vol. 125(C), pages 173-181.
    2. Tracy Sweet & Samrachana Adhikari, 2020. "A Latent Space Network Model for Social Influence," Psychometrika, Springer;The Psychometric Society, vol. 85(2), pages 251-274, June.
    3. Valeria Ivaniushina & Daniel Alexandrov, 2014. "Disentangling Peer Influence On Multiple Levels," HSE Working papers WP BRP 43/SOC/2014, National Research University Higher School of Economics.

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