Peer influence decay and behavioral diffusion in adolescent networks: A simulation approach.

Authors

Cheng Wang, Carter T Butts, John R Hipp, Cynthia M Lakon

Published in

Science (New York, N.Y.). Volume 392. Issue 6797. Pages 506-511. Apr 30, 2026. Epub Apr 30, 2026.

Abstract

How far does peer influence spread through social networks before dissipating? This study investigates the diffusion of smoking behavior in adolescent friendship networks using longitudinal data from two schools (n = 3154 students) in the National Longitudinal Study of Adolescent to Adult Health. Using Stochastic Actor-Oriented Models, we simulate interventions targeting heavy smokers using various strategies (random, in-degree, eigenvector centrality) and coverage (10 to 100%). A new exponential decay model quantifies influence attenuation, revealing indirect peer influences, or spillover effects, up to three steps from targets. Targeting 10 to 30% of central individuals maximizes smoking reductions, but gains plateau beyond 40 to 50% owing to network saturation. In our analyses, the denser network exhibits broader diffusion and slower decay than the larger, sparser network. This decay metric optimizes intervention design across diverse network structures.

PMID:
42060764
Bibliographic data and abstract were imported from PubMed on 01 May 2026.

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