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Updated: Aug 30, 2025

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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
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Dynamic Interdependence of Advice Seeking, Loaning, and Recovery Characteristics in Recovery Homes
Leonard A Jason1, Gabrielle Lynch1, Ted Bobak1
1DePaul University.
Summary
Seeking advice from more recovered residents in recovery homes enhances an individual's recovery journey. Social connections within these homes are crucial for sustained recovery and positive outcomes.
Area of Science:
- Social network analysis
- Addiction recovery studies
- Sociology of health
Background:
- Recovery homes offer vital support for individuals overcoming homelessness, psychiatric conditions, and criminal justice involvement.
- Understanding the social dynamics within recovery homes is essential for improving long-term recovery success.
Purpose of the Study:
- To investigate the role of social relationships, specifically advice seeking and willingness-to-loan, in recovery homes.
- To analyze how these social networks evolve and impact recovery outcomes over time.
Main Methods:
- Utilized a dynamic multiplex social network analysis framework (Stochastic Actor-Oriented Modeling).
- Studied relationship dynamics within 42 Oxford House recovery homes.
- Simultaneously modeled network evolution and recovery attributes.
Main Results:
- Advice and loan relationships were interdependent with recovery attitudes.
- Social embedding and forming ties with more recovered residents predicted better recovery outcomes.
- Gender, ethnicity, and reasons for leaving influenced these social dynamics.
Conclusions:
- Social networks significantly impact recovery prospects in recovery homes.
- Proactive advice seeking from more experienced residents is linked to enhanced recovery.
- The study highlights the importance of social integration for sustained recovery.
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