Graph Algorithms

Mark / Hodler Needham

300 pages, parution le 30/05/2019

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Résumé

For developers and data scientists who need to create intelligent solutions based on the connections within their data, this book is a guide on using graph algorithms with practical examples for Spark and Neo4j, so they can quickly get started with graph analytics.Discover how graph algorithms can help you leverage the relationships within your data to create novel inventions and develop more intelligent solutions faster. You'll learn how graph analytics are uniquely suited to unfold complex structures and surface relationships as well as why this is leading to an explosion of graph applications. Whether you are trying to build network models or predict dynamic behavior, this book illustrates how graph algorithms can be used to uncover routes, model flows and estimate resiliency. With an emphasis on practical uses, you'll see how to approach implementing graph algorithms in Apache Spark and Neo4j-two of the most common choices for graph analytics. In this book, we'll include sample code and tips for over 15 of the most significant algorithms that cover pathfinding, centrality and community detection. Find out how graph analytics is different from common statistical analysis Understand the uses of graph algorithms and whether you have a graph analytics challenge Learn about various graph processing approaches and challenges Find out how common graph algorithms work and how they are applied Obtain guidance on which algorithms to use for different types of questions or data Explore examples with working code and sample datasets for both Spark and Neo4j

Mark Needham is a graph advocate and Developer Relations Engineer at Neo4j. Mark helps users embrace graphs and Neo4j, building sophisticated solutions to challenging data problems. Mark has deep expertise in graph data having previously helped to build Neo4j's Causal Clustering system. Mark writes about his experiences of being a graphista on a popular blog at markhneedham.com.

Amy Hodler is a network science devotee and AI and Graph Analytics Program Manager at Neo4j. She promotes the use of graph analytics to reveal structures within real-world networks and predict dynamic behavior. Amy helps teams apply novel approaches to generate new opportunities at companies such as EDS, Microsoft, Hewlett-Packard (HP), Hitachi IoT, and Cray Inc. Amy has a love for science and art with a fascination for complexity studies and graph theory.

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	PAPIER
Éditeur(s)	O'Reilly
Auteur(s)	Mark / Hodler Needham
Parution	30/05/2019
Nb. de pages	300
EAN13	9781492047681

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Graph Algorithms

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