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14 - Studying Recovery in the Social Context

A Primer on Methods for Measuring and Modeling Social Network Data in Applied Recovery Research

from Part II - Meso Level

Published online by Cambridge University Press:  23 December 2021

By
Kevin A. Hallgren
Edited by
Jalie A. Tucker  and
Katie Witkiewitz
Jalie A. Tucker
Affiliation:
University of Florida
Katie Witkiewitz
Affiliation:
University of New Mexico
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Summary

Social networks often play critical and complex roles in the recovery process. Recent advancements in methods for measuring and modeling social networks create opportunities to advance the science of recovery by testing theories and treatment models with a more explicit focus on the dynamic roles of social environments. This chapter provides a primer on several methods for measuring and modeling social network data, including those that use egocentric approaches (i.e., where social networks are modeled as characteristics of individuals) and sociocentric approaches (i.e., where social networks are modeled as complete entities of interconnected individuals). Aspects of measurement and analysis that commonly differ for social network data are highlighted. Examples of research on substance use disorders that apply these methods are also described to illustrate the types of insights that may be obtained using these approaches.

Keywords

substance use disordersegocentric network analysismechanisms of changepeer supportrecovery social environmentsocial network analysissocial supportsociocentric network analysisstatistical methods
Type
Chapter
Information
Dynamic Pathways to Recovery from Alcohol Use Disorder
Meaning and Methods
 , pp. 260 - 279
Publisher: Cambridge University Press
Print publication year: 2022

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