عنوان

Cohesive subgraph computation over large sparse graphs :

3030035999

9783030035990

9783030035983

Cohesive subgraph computation over large sparse graphs :

[Book]

algorithms, data structures, and programming techniques /

Lijun Chang, Lu Qin.

Cham :

Springer,

2018.

1 online resource (xii, 107 pages) :

illustrations (some color)

Springer series in the data sciences,

2365-5674

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.

0

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.

Springer Nature

com.springer.onix.9783030035990

Cohesive Subgraph Computation over Large Sparse Graphs : Algorithms, Data Structures, and Programming Techniques.

9783030035983

Graph theory.

Graph theory.

COM051300

PBKS

PBKS

Chang, Lijun

Qin, Lu

20200823075612.0

pn

[Book]

Y