Evidence map›Paper›PMID 31812853›Full record

ArticleDrug and alcohol dependence2020

Building the community: Endogenous network formation, homophily and prosocial sorting among therapeutic community residents.

Keith Warren, Benjamin Campbell, Skyler Cranmer, George De Leon, Nathan Doogan, Mackenzie Weiler, Fiona Doherty

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Keith WarrenThe Ohio State University College of Social Work, 1947 N. College Road Columbus, OH 43210, USA. Electronic address: Warren.193@osu.edu.
Benjamin CampbellThe Ohio State University Department of Political Science, 154 N Oval Mall, Columbus, OH 43210, USA. Electronic address: BenCam92@gmail.com.
Skyler CranmerThe Ohio State University Department of Political Science, 154 N Oval Mall, Columbus, OH 43210, USA. Electronic address: Cranmer.12@osu.edu.
George De LeonNew York University Rory Meyers College of Nursing, 433 1st Avenue, New York, NY 10010, USA. Electronic address: geodeleon@aol.com.
Nathan DooganOhio Colleges of Medicine Government Resource Center, 1070 Carmack Road, Columbus, OH 43210, USA. Electronic address: Nathan.Doogan@osumc.edu.
Mackenzie WeilerThe Ohio State University Department of Political Science, 154 N Oval Mall, Columbus, OH 43210, USA. Electronic address: Weiler.139@buckeyemail.osu.edu.
Fiona DohertyThe Ohio State University College of Social Work, 1947 N. College Road Columbus, OH 43210, USA. Electronic address: Doherty.156@buckeyemail.osu.edu.

Funding

Development of a statistical framework for the analysis of social network predictors of therapeutic community outcomesR34DA043079 · NIDA · OHIO STATE UNIVERSITY · PI WARREN, KEITH LEVERETT · 2018 to 2020
$690k
Maintenance and correlates of cooperative behavior in therapeutic communitiesR21DA023474 · NIDA · OHIO STATE UNIVERSITY · PI WARREN, KEITH LEVERETT · 2009 to 2010
$391k
NIDA NIH HHS R21 DA023474NIDA NIH HHS R34 DA043079
6 · The paper itself

Abstract

backgroundResearchers have begun to consider the ways in which social networks influence therapeutic community (TC) treatment outcomes. However, there are few studies of the way in which the social networks of TC residents develop over the course of treatment. METHODOLOGY: We used a Temporal Exponential Random Graph Model (TERGM) to analyze changes in social networks totaling 320,387 peer affirmations exchanged between residents in three correctional TCs, one of which serves men and two of which serve both men and women. The networks were analyzed within weekly and monthly time-frames.

resultsWithin a weekly time-frame residents tended to close triads. Residents who were not previously connected tended not to affirm the same peers. Residents showed homophily by entry cohort. Other results were inconsistent across TC units. Within a monthly time-frame participants showed homophily by graduation status. They showed the same patterns of triadic closure when connected, tendency not to affirm the same peers when not connected and homophily by cohort entry time as in a weekly time frame.

conclusionsTCs leverage three human tendencies to bring about change. The first is the tendency of cooperators to work together, in this case in seeking graduation. The second is the tendency of people to build clusters. The third is homophily, in this case by cohort entry time. Consistent with TC clinical theory, residents spread affirmations to a variety of peers when they have no previous connection. This suggests that residents balance network clustering with a concern for the community as a whole.

Indexed as

Interpersonal RelationsPeer GroupSocial NetworkingTherapeutic CommunityAdultCohort StudiesFemaleHumansMaleSubstance-Related DisordersYoung AdultCooperation in groupsEmergenceMutual aidNetwork formationSocial networksSubstance abuseTherapeutic communities

Identifiers

PMID31812853
PMCPMC6981033

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.