Graph Algorithms
by Mark Needham and Amy E. Hodler
Copyright © 2019 Amy Hodler and Mark Needham. All rights reserved.
What’s in This Book
This book is a practical guide to getting started with graph algorithms for developers
and data scientists who have experience using Apache Spark™ or Neo4j. Although our
algorithm examples utilize the Spark and Neo4j platforms, this book will also be helpful
for understanding more general graph concepts, regardless of your choice of
graph technologies.
The first two chapters provide an introduction to graph analytics, algorithms, and
theory. The third chapter briefly covers the platforms used in this book before we
dive into three chapters focusing on classic graph algorithms: pathfinding, centrality,
and community detection. We wrap up the book with two chapters showing how
graph algorithms are used within workflows: one for general analysis and one for
machine learning.
At the beginning of each category of algorithms, there is a reference table to help you
quickly jump to the relevant algorithm. For each algorithm, you’ll find:
• An explanation of what the algorithm does
• Use cases for the algorithm and references to where you can learn more
• Example code providing concrete ways to use the algorithm in Spark, Neo4j, or
both
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