Network Analysis for Spatial, Social and Psychological Systems

The utility of network theory and analysis in the field of social work has greatly increased over the past decade. Network analysis is an innovative approach to explore patterns of interconnectivity across critical social work domains, including housing instability, trauma, and substance use recovery. It has repeatedly proven effective in capturing the impact of structural vulnerability on client outcomes. However, the field of network analysis utilizes a distinct language of theoretical and mathematical concepts, requiring specialized approaches for data collection and interpretation. To successfully develop and apply novel interventions based on network data, social work practitioners and researchers must have a solid understanding of these methodologies.

This workshop introduces participants to three types of network analysis—social, spatial, and psychological networks—that are instrumental in identifying intervention points to promote positive outcomes, with a specific focus on residents in residential recovery housing. Participants will gain a deeper understanding of network theory, research design, and practical application.

Three interrelated examples will illustrate the implementation of these network models within residential recovery housing. First, social network analysis will demonstrate how transitional support services impact the availability of recovery capital and resources within residents' peer support networks. Second, spatial networks will explore how the physical infrastructure of cities shapes access to amenities that facilitate or impede residents' access to essential resources, such as support groups and restorative spaces, treatment facilities, and employment. Finally, psychological networks will be used to explore the complex, dynamic interrelationships between post-traumatic stress and substance use behaviors among recovery housing residents. Unlike traditional cumulative risk models, psychological networks identify the most highly central symptoms and behaviors, highlighting specific targets for clinical intervention.

The workshop will conclude by discussing the broader implications of network analysis for social work practice and future research possibilities.

Learning Objectives

1. To provide participants with an overview of the language of network analysis, including its distinct tools, methods, and data collection requirements.
2. To provide participants with an understanding of the utility of social, spatial, and psychological network analysis as applied to the broader field of social work.
3. To provide participants with a foundation for how network analysis can be applied to identify targeted interventions that reduce risk factors and improve outcomes for residents in residential recovery housing.