Abstract
This methods note introduces Social Network Analysis (SNA) as a valuable tool for evaluating development interventions, particularly in research-for-development (R4D). It defines SNA, explores its applications in the social sciences, and outlines key steps for conducting an SNA—from data collection to interpretation. By examining case studies, the note illustrates how SNA helps assess stakeholder relationships, track information flows, and analyze network structures. It highlights the benefits of SNA in development evaluation, such as monitoring network evolution, strengthening partnerships, and improving decision-making. Additionally, it provides guidance for young evaluators on overcoming challenges in implementing SNA. The document also explores how SNA integrates with Developmental Evaluation (DE), leveraging participatory methods and network visualization to enhance program effectiveness. By applying SNA, evaluators can uncover hidden patterns, improve collaboration, and generate actionable insights for more impactful interventions.
Citation
Anand, S. and Carneiro, B. 2024. Social network analysis for the evaluation of development interventions. Methods note. Rome: CGIAR Independent Advisory and Evaluation Service (IAES) Evaluation Function, Alliance of Bioversity International and CIAT/CGIAR, Gender and Equity Network South Asia (GENSA).
Author(s)
Anand Shweta and Carneiro Bia
Publisher
CGIAR Independent Advisory and Evaluation Service (IAES) Evaluation Function, Alliance of Bioversity International and CIAT/CGIAR, Gender and Equity Network South Asia.
