Introduction

In today’s data-driven evaluation landscape, understanding relationships, influence, and connectivity within social, organizational, and project networks is critical for achieving impactful results. Network Analysis for Evaluation Training Course equips professionals with advanced techniques to map, measure, and analyze complex networks using cutting-edge tools and methodologies. Participants will gain actionable insights into stakeholder dynamics, knowledge flows, and collaboration patterns, enabling evidence-based decision-making and strategic interventions. This course integrates practical applications, real-world case studies, and interactive exercises to ensure participants can translate network insights into tangible program improvements.

Through this training, evaluators, program managers, and analysts will master key concepts such as social network analysis (SNA), network metrics, visualization techniques, and predictive modeling for evaluation outcomes. Leveraging modern software platforms and data sources, participants will learn how to identify central actors, detect structural gaps, and optimize influence pathways within programs. By the end of the course, learners will be able to design, implement, and report network evaluations that drive organizational learning, enhance program efficiency, and maximize social impact. This course is ideal for professionals seeking to elevate their evaluation practice with sophisticated analytical approaches that reveal hidden patterns and strengthen evidence-based strategies.

Programme Curriculum

Network Analysis for Evaluation Training Course

Introduction

Course Duration

10 days

Course Objectives

Understand foundational concepts and principles of Network Analysis in evaluation.
Identify key network actors and relationships using social network mapping.
Apply network metrics to measure connectivity, centrality, and influence.
Visualize complex networks using advanced graph visualization tools.
Analyze communication and knowledge flow patterns for program efficiency.
Detect structural gaps and bottlenecks in organizational networks.
Apply predictive network modeling to anticipate program outcomes.
Integrate network insights into impact evaluation frameworks.
Enhance stakeholder engagement through network-informed strategies.
Interpret network data to inform evidence-based decision-making.
Conduct comparative network analysis across programs and regions.
Develop actionable reports with interactive network dashboards.
Use real-world case studies and simulations to strengthen practical skills.

Target Audience

Monitoring and Evaluation (M&E) professionals
Program managers and coordinators
Data analysts and research specialists
Social scientists and policy researchers
Organizational development practitioners
Impact assessment consultants
NGO and non-profit program evaluators
Academics and graduate students in evaluation or social network studies

Course Modules

Module 1: Introduction to Network Analysis

Core concepts of nodes, edges, and network structures
Types of networks: social, organizational, and project networks
Role of network analysis in evaluation
Case Study: Evaluating NGO collaboration networks
Mapping a small organizational network

Module 2: Data Collection for Networks

Identifying relevant actors and relationships
Survey and observational techniques for network data
Ethical considerations and privacy in network data
Case Study: Collecting network data in a community health program
Designing a network survey

Module 3: Network Metrics and Analysis

Degree, betweenness, closeness, and eigenvector centrality
Network density and clustering measures
Identifying key influencers and connectors
Case Study: Mapping leadership influence in corporate networks
Calculating centrality metrics

Module 4: Network Visualization Techniques

Tools for network visualization
Layout algorithms and aesthetic mapping
Interpreting network diagrams effectively
Case Study: Visualizing inter-agency collaboration networks
Creating visual network maps

Module 5: Social Network Analysis (SNA) in Programs

Role of SNA in monitoring and evaluation
Measuring collaboration, communication, and knowledge flows
Network intervention strategies
Case Study: SNA in education program networks
Analyzing real-world SNA data

Module 6: Advanced Network Modeling

Predictive and statistical network models
Simulating network changes and outcomes
Using models for program planning
Case Study: Modeling diffusion of innovation in health programs
Building a predictive network model

Module 7: Identifying Gaps and Bottlenecks

Detecting structural holes in networks
Analyzing weak links and isolated nodes
Strategies to strengthen network resilience
Case Study: Organizational network gap analysis
Gap identification exercise

Module 8: Network Dynamics Over Time

Longitudinal network analysis
Tracking network evolution and trends
Measuring impact of interventions on network change
Case Study: Evolution of a donor coordination network
Visualizing temporal network changes

Module 9: Stakeholder Mapping and Analysis

Identifying critical stakeholders and their influence
Using networks for stakeholder engagement
Case Study: Stakeholder network in a public health program
Practical: Developing a stakeholder network map
Prioritizing stakeholder engagement

Module 10: Collaboration and Knowledge Flow Analysis

Measuring knowledge diffusion in networks
Identifying bottlenecks in communication
Promoting effective collaboration strategies
Case Study: Knowledge network in academic institutions
Analyzing communication flows

Module 11: Network-Driven Program Improvement

Integrating network insights into program design
Enhancing performance through network interventions
Evaluating program outcomes with network metrics
Case Study: Using networks to improve youth empowerment programs
Designing a network-informed intervention

Module 12: Reporting and Dashboards

Network visualization in reports and dashboards
Storytelling with network data
Best practices for communicating complex networks
Case Study: Interactive network dashboards for NGOs
Building a sample dashboard

Module 13: Comparative Network Evaluation

Comparing networks across regions or programs
Identifying common patterns and unique structures
Benchmarking network performance
Case Study: Comparative evaluation of health sector networks
Cross-network comparison exercise

Module 14: Tools and Software for Network Analysis

Introduction to Gephi, NodeXL, UCINET, Pajek
Importing and cleaning network data
Automation and reporting with network software
Case Study: Software-assisted evaluation of program networks
Hands-on tool training

Module 15: Capstone Project and Simulation

Designing a full network evaluation
Implementing analysis and visualization
Presenting actionable recommendations
Case Study: End-to-end evaluation of NGO collaboration
Group simulation and report presentation

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Stakeholder mapping Relationship analysis Data visualization Influence assessment

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000