Using Social Network Analysis to Understand the Perceived Role and Influence of Foundations
Year: 2020
Type: article
Abstract: Collaboration between foundations and other organizations is critical to the success of foundation-supported initiatives, but the power dynamics among foundations, grantees, and their broader communities can be challenging. Social network analysis is a tool to assess collaboration among organizations and its outcomes. A unique yet often underemphasized benefit of this method of analysis is its focus on dyadic relationships between organizations, which presents an opportunity for foundations to evaluate their role in a network and how they are perceived by the very organizations whose missions they support. This article leverages a social network analysis of community partners focused on addressing needs of people experiencing homelessness and housing shortages to illustrate how the results can constructively inform foundations on how they are viewed by community partners along dimensions of trust, value, resource contribution, activities, and contribution to outcomes. The analysis is conducted using an online network survey, analysis, and reporting tool called PARTNER — Program to Analyze, Record and Track Networks to Enhance Relationships. The analysis of survey responses captures over 600 unique dyadic partnerships across more than 40 community organizations, including their relationships with participating foundations. The PARTNER tool satisfies the need to evaluate both the impact of collaborative initiatives supported by foundations and foundations’ roles in these efforts. Support for this publication was provided by the Robert Wood Johnson Foundation through the Systems for Action National Coordinating Center, ID 75150.
Source: The Foundation Review
Authors: Todd L. Ely, Katie Edwards, Rachel Hogg Graham, Danielle Varda
Institutions: University of Colorado Denver, University of Kentucky
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Funder: Robert Wood Johnson Foundation
OpenAlex ID: W3016684747
