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Network Integration within a Prison-Based Therapeutic Community.
Social Networks ( IF 4.144 ) Pub Date : 2020-08-07 , DOI: 10.1016/j.socnet.2020.07.007
David R Schaefer 1 , Kimberly M Davidson 2 , Dana L Haynie 3 , Martin Bouchard 4
Affiliation  

Prison-based therapeutic communities (TCs) are a widespread, effective way to help incarcerated individuals address substance abuse problems. The TC philosophy is grounded in an explicitly relational paradigm that entails building community and conditioning residents to increasingly take responsibility for leadership therein. Although TCs are based on cultivating a network that continuously integrates new residents, many common structural features can jeopardize TC goals and are hence discouraged (e.g., clustering, homophily). In light of this tension, analyzing the TC from a network perspective can offer new insights to its functioning, as well as to broader questions surrounding how networks integrate new members. In this study we examine a men’s TC unit in a Pennsylvania prison over a 10-month span. Using data on residents’ informal networks, we examine: (1) how well individuals integrate into the TC network across time, (2) what predicts how well residents integrate into the TC, and (3) how well the TC network structure adheres to theoretical ideals. Results suggest that individual integration is driven by a range of hypothesized factors and, with limited exceptions, the observed TC is able to foster a network structure and integrate residents consistent with TC principles. We discuss the implications of these results for evaluating TCs and for understanding the process of network integration.



中文翻译:

监狱治疗社区内的网络集成。

以监狱为基础的治疗社区 (TC) 是一种广泛有效的方法,可帮助被监禁的人解决药物滥用问题。TC 哲学建立在明确的关系范式之上,该范式需要建立社区并培养居民以越来越多地承担其中的领导责任。尽管 TC 的基础是培养一个不断融合新居民的网络,但许多共同的结构特征可能会危及 TC 的目标,因此不鼓励(例如,聚类、同质性)。鉴于这种紧张局势,从网络角度分析 TC 可以为其功能提供新的见解,以及围绕网络如何整合新成员的更广泛问题。在这项研究中,我们在 10 个月的时间里检查了宾夕法尼亚监狱中的男子 TC 部门。使用居民非正式网络的数据,我们检查:(1)个人如何跨时间融入 TC 网络,(2)什么可以预测居民融入 TC 的程度,以及(3)TC 网络结构如何遵守理论理想。结果表明,个体融合是由一系列假设因素驱动的,除了有限的例外,观察到的 TC 能够培养网络结构,并按照 TC 原则整合居民。我们讨论了这些结果对评估 TC 和理解网络集成过程的影响。结果表明,个体融合是由一系列假设因素驱动的,除了有限的例外,观察到的 TC 能够培养网络结构,并按照 TC 原则整合居民。我们讨论了这些结果对评估 TC 和理解网络集成过程的影响。结果表明,个体融合是由一系列假设因素驱动的,除了有限的例外,观察到的 TC 能够培养网络结构,并按照 TC 原则整合居民。我们讨论了这些结果对评估 TC 和理解网络集成过程的影响。

更新日期:2020-08-07
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