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Table of contents (8 chapters)
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Front Matter
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Think Like a Vertex
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Front Matter
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Think Like a Graph
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Front Matter
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Think Like a Matrix
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Front Matter
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Keywords
About this book
There has been a surging interest in developing systems for analyzing big graphs generated by real applications, such as online social networks and knowledge graphs. This book aims to help readers get familiar with the computation models of various graph processing systems with minimal time investment.
This book is organized into three parts, addressing three popular computation models for big graph analytics: think-like-a-vertex, think-likea- graph, and think-like-a-matrix. While vertex-centric systems have gained great popularity, the latter two models are currently being actively studied to solve graph problems that cannot be efficiently solved in vertex-centric model, and are the promising next-generation models for big graph analytics. For each part, the authors introduce the state-of-the-art systems, emphasizing on both their technical novelties and hands-on experiences of using them. The systems introduced include Giraph, Pregel+, Blogel, GraphLab, CraphChi, X-Stream, Quegel, SystemML, etc.
Readers will learn how to design graph algorithms in various graph analytics systems, and how to choose the most appropriate system for a particular application at hand. The target audience for this book include beginners who are interested in using a big graph analytics system, and students, researchers and practitioners who would like to build their own graph analytics systems with new features.
Authors and Affiliations
Bibliographic Information
Book Title: Systems for Big Graph Analytics
Authors: Da Yan, Yuanyuan Tian, James Cheng
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-319-58217-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2017
Softcover ISBN: 978-3-319-58216-0Published: 13 June 2017
eBook ISBN: 978-3-319-58217-7Published: 31 May 2017
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: VI, 92
Number of Illustrations: 8 b/w illustrations, 2 illustrations in colour
Topics: Information Systems and Communication Service, Computer Graphics, Computer Communication Networks