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portada Cohesive Subgraph Computation Over Large Sparse Graphs: Algorithms, Data Structures, and Programming Techniques (Springer Series in the Data Sciences)
Type
Physical Book
Publisher
Author
Year
2018
Language
English
Pages
107
Format
Hardcover
ISBN13
9783030035983
Edition No.
2018
Categories

Cohesive Subgraph Computation Over Large Sparse Graphs: Algorithms, Data Structures, and Programming Techniques (Springer Series in the Data Sciences)

Lijun Chang; Lu Qin (Author) · Springer · Hardcover

Cohesive Subgraph Computation Over Large Sparse Graphs: Algorithms, Data Structures, and Programming Techniques (Springer Series in the Data Sciences) - Lijun Chang; Lu Qin

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Synopsis "Cohesive Subgraph Computation Over Large Sparse Graphs: Algorithms, Data Structures, and Programming Techniques (Springer Series in the Data Sciences) "

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.

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