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Cohesive subgraph computation over large sparse graphs = algorithms, data structures, and programming techniques /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Cohesive subgraph computation over large sparse graphs/ by Lijun Chang, Lu Qin.
其他題名:	algorithms, data structures, and programming techniques /
作者:	Chang, Lijun.
其他作者:	Qin, Lu.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xii, 107 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Graph theory. -
電子資源:	https://doi.org/10.1007/978-3-030-03599-0
ISBN:	9783030035990

Cohesive subgraph computation over large sparse graphs = algorithms, data structures, and programming techniques /
Chang, Lijun.

Cohesive subgraph computation over large sparse graphsalgorithms, data structures, and programming techniques /[electronic resource] :by Lijun Chang, Lu Qin. - Cham :Springer International Publishing :2018. - xii, 107 p. :ill. (some col.), digital ;24 cm. - Springer series in the data sciences,2365-5674. - Springer series in the data sciences..

Introduction -- Linear Heap Data Structures -- Minimum Degree-based Core Decomposition -- Average Degree-based Densest Subgraph Computation -- Higher-order Structure-based Graph Decomposition -- Edge Connectivity-based Graph Decomposition.

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.

ISBN: 9783030035990

Standard No.: 10.1007/978-3-030-03599-0doiSubjects--Topical Terms:

527884
Graph theory.

LC Class. No.: QA166 / .C436 2018

Dewey Class. No.: 511.5

Cohesive subgraph computation over large sparse graphs = algorithms, data structures, and programming techniques /
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