Games User Research: Network Analysis
A guide to visualizing flow, influence, and structure in player data.

This book shows you how to reveal hidden gameplay structures and playstyle patterns using advanced network science. It is designed for UX researchers, analysts, and developers looking to explore gameplay through the lens of nodes, paths, and flow.
Whether you're working with telemetry, social graphs, or event chains—this guide gives you the tools to see play differently and tell compelling data stories through topological insight.
In This Book, You’ll Learn How To:
- Build and interpret gameplay graphs from raw telemetry data.
- Identify bottlenecks, dead ends, and emergent player paths.
- Detect churn and drop-off using centrality and funnel patterns.
- Apply network theory to multiplayer and social interaction studies.
- Use R, Python, and Gephi to visualize and analyze gameplay structure.
- Tell compelling data stories through topological insight.
Book Covers

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Back Cover
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Janne Tyni, Ph.D.
This work is part of IndieUXR's ongoing research into ethical game design and player psychology.
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