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Springer Series in the Data Sciences

Cohesive Subgraph Computation over Large Sparse Graphs

Algorithms, Data Structures, and Programming Techniques

Authors: Chang, Lijun, Qin, Lu

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  • Includes data structures that can be of general use for efficient graph processing
  • Considered the first extended survey on algorithms and techniques for efficient cohesive subgraph computation
  • Source code of highly optimized algorithms is provided 
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eBook $54.99
$84.99 (listprice)
price for USA in USD (gross)
valid through July 31, 2020
  • ISBN 978-3-030-03599-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $69.99
$109.99 (listprice)
price for USA in USD
valid through July 31, 2020
  • ISBN 978-3-030-03598-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
About this book

This book is considered the first extended survey on algorithms and techniques for efficient cohesive subgraph computation. With rapid development of information technology, huge volumes of graph data are accumulated. An availability of rich graph data not only brings great opportunities for realizing big values of data to serve key applications, but also brings great challenges in computation. Using a consistent terminology, the book gives an excellent introduction to the models and algorithms for the problem of cohesive subgraph computation. The materials of this book are well organized from introductory content to more advanced topics while also providing well-designed source codes for most algorithms described in the book. This is a timely book for researchers who are interested in this topic and efficient data structure design for large sparse graph processing. It is also a guideline book for new researchers to get to know the area of cohesive subgraph computation.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $54.99
$84.99 (listprice)
price for USA in USD (gross)
valid through July 31, 2020
  • ISBN 978-3-030-03599-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $69.99
$109.99 (listprice)
price for USA in USD
valid through July 31, 2020
  • ISBN 978-3-030-03598-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Cohesive Subgraph Computation over Large Sparse Graphs
Book Subtitle
Algorithms, Data Structures, and Programming Techniques
Authors
Series Title
Springer Series in the Data Sciences
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-03599-0
DOI
10.1007/978-3-030-03599-0
Hardcover ISBN
978-3-030-03598-3
Series ISSN
2365-5674
Edition Number
1
Number of Pages
XII, 107
Number of Illustrations
20 b/w illustrations, 1 illustrations in colour
Topics

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