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Relationship between network clustering in a therapeutic community and reincarceration following discharge [2018]

Highlights
• 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.

Benjamin W. Campbell, Skyler Cranmer, Nathan Doogan, Keith Warren
Journal of Substance Abuse Treatment, Volume 97, February 2019
DOI
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