• Social network analysis of predictors of reincarceration following discharge from therapeutic communities (TCs).
• Analysis of a network of 34,667 affirmations exchanged between 1,312 male TC residents using the temporal network autocorrelation model (TNAM).
• Clustering in resident networks measured by percentage of closed triads.
• TC residents whose social networks show more clustering have a lower hazard of reincarceration.
• This is true when controlling for age, length of stay, race and whether peers with whom they are linked in the network graduate.