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.

Highlights

  • It has long been established that influence from peers can impact behavior (Kelman, 1958), and there has been a recent increase in the use of social network methodology for intervention development and implementation across a host of health behaviors, including family planning, weight loss, diabetes care, smoking cessation, and HIV risk reduction (Latkin & Knowlton, 2015)

  • As designed, the strategic players (SP) program identified participants who were distinguished by their network position

  • It has long been established that influence from peers can impact behavior (Kelman, 1958), and there has been a recent increase in the use of social network methodology for intervention development and implementation across a host of health behaviors, including family planning, weight loss, diabetes care, smoking cessation, and HIV risk reduction (Latkin & Knowlton, 2015)

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Summary

Introduction

It has long been established that influence from peers can impact behavior (Kelman, 1958), and there has been a recent increase in the use of social network methodology for intervention development and implementation across a host of health behaviors, including family planning, weight loss, diabetes care, smoking cessation, and HIV risk reduction (Latkin & Knowlton, 2015). Diffusion of innovations posits that ideas and behaviors spread within a network based on interactions between members of the network Valente (2012) has described different methods for intervening on a network, the most common is an individual-level intervention, in which individuals within the network are identified, based on a list of a priori credentials, to be intervention agents. These individuals are targets of the intervention itself, but by nature of network theory, are presumed to expose others to the intervention through their social relationships 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

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