Literature DB >> 31847674

Identification and Description of Potentially Influential Social Network Members using the Strategic Player Approach.

Miles Q Ott1, Sara G Balestrieri2, Graham DiGuiseppi2, Melissa A Clark3, Michael Bernstein2, Sarah Helseth2, Nancy P Barnett2.   

Abstract

Background: Diffusion of innovations theory posits that ideas and behaviors can be spread through social network ties. In intervention work, intervening upon certain network members may lead to intervention effects "diffusing" into the network to affect the behavior of network members who did not receive the intervention. The strategic players (SP) method, an extension of Borgatti's Key Players approach, is used to balance the (sometimes) opposing goals of spreading the intervention to as many members of the target group as possible, while preventing the spread of the intervention to others.
Objectives: We sought to test whether members of the SP set have network position and non-network differences (such as demographic, attitudinal, or behavioral differences) compared to the remaining members of the target group (non-SPs).
Methods: A first-year class at a private residential university (N = 1342) completed network and non-network measures. Analyses were restricted only to heavy drinkers, leading to a final analytic sample of 529.
Results: SPs and non-SPs differed on multiple network variables, but did not differ on most demographic, attitudinal, and behavior variables. Conclusions: As designed, the SP program identified participants who were distinguished by their network position. The fact that they did not also differ on other characteristics shows the SPs are not significantly different than heavy drinkers who were not selected.

Entities:  

Keywords:  Network intervention; college alcohol use; heavy drinking; network diffusion; social network

Mesh:

Year:  2019        PMID: 31847674      PMCID: PMC7125000          DOI: 10.1080/10826084.2019.1701032

Source DB:  PubMed          Journal:  Subst Use Misuse        ISSN: 1082-6084            Impact factor:   2.164


  15 in total

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2.  Network interventions on physical activity in an afterschool program: an agent-based social network study.

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3.  A comparison of a brief and long version of the Situational Confidence Questionnaire.

Authors:  F C Breslin; L C Sobell; M B Sobell; S Agrawal
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4.  Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: the brief young adult alcohol consequences questionnaire.

Authors:  Christopher W Kahler; David R Strong; Jennifer P Read
Journal:  Alcohol Clin Exp Res       Date:  2005-07       Impact factor: 3.455

5.  Strategic Players for Identifying Optimal Social Network Intervention Subjects.

Authors:  Miles Q Ott; John M Light; Melissa A Clark; Nancy P Barnett
Journal:  Soc Networks       Date:  2018-06-22

6.  The relative strength of attitudes versus perceived drinking norms as predictors of alcohol use.

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7.  PrEP Chicago: A randomized controlled peer change agent intervention to promote the adoption of pre-exposure prophylaxis for HIV prevention among young Black men who have sex with men.

Authors:  Lindsay E Young; Phil Schumm; Leigh Alon; Alida Bouris; Matthew Ferreira; Brandon Hill; Aditya S Khanna; Thomas W Valente; John A Schneider
Journal:  Clin Trials       Date:  2017-09-01       Impact factor: 2.486

8.  A text message intervention for alcohol risk reduction among community college students: TMAP.

Authors:  Beth C Bock; Nancy P Barnett; Herpreet Thind; Rochelle Rosen; Kristen Walaska; Regina Traficante; Robert Foster; Chris Deutsch; Joseph L Fava; Lori A J Scott-Sheldon
Journal:  Addict Behav       Date:  2016-07-18       Impact factor: 3.913

Review 9.  Social Network Assessments and Interventions for Health Behavior Change: A Critical Review.

Authors:  Carl A Latkin; Amy R Knowlton
Journal:  Behav Med       Date:  2015       Impact factor: 3.104

10.  Social network analysis for program implementation.

Authors:  Thomas W Valente; Lawrence A Palinkas; Sara Czaja; Kar-Hai Chu; C Hendricks Brown
Journal:  PLoS One       Date:  2015-06-25       Impact factor: 3.240

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