Community Search over Big Graphs / by Xin Huang, Laks V.S. Lakshmanan, Jianliang Xu.

Format:

Book

Author/Creator:

Huang, Xin., Author.

Lakshmanan, Laks V.S., Author.

Xu, Jianliang., Author.

Series:

Synthesis Lectures on Data Management, 2153-5426

Language:

English

Subjects (All):

Computer networks.

Data structures (Computer science).

Information theory.

Computer Communication Networks.

Data Structures and Information Theory.

Local Subjects:

Computer Communication Networks.

Data Structures and Information Theory.

Physical Description:

1 online resource (XVII, 188 p.)

Edition:

1st ed. 2019.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

Summary:

Communities serve as basic structural building blocks for understanding the organization of many real-world networks, including social, biological, collaboration, and communication networks. Recently, community search over graphs has attracted significantly increasing attention, from small, simple, and static graphs to big, evolving, attributed, and location-based graphs. In this book, we first review the basic concepts of networks, communities, and various kinds of dense subgraph models. We then survey the state of the art in community search techniques on various kinds of networks across different application areas. Specifically, we discuss cohesive community search, attributed community search, social circle discovery, and geo-social group search. We highlight the challenges posed by different community search problems. We present their motivations, principles, methodologies, algorithms, and applications, and provide a comprehensive comparison of the existing techniques. This book finally concludes by listing publicly available real-world datasets and useful tools for facilitating further research, and by offering further readings and future directions of research in this important and growing area.

Contents:

Acknowledgments

Introduction

Cohesive Subgraphs

Cohesive Community Search

Attributed Community Search

Social Circle Analysis

Geo-Social Group Search

Datasets and Tools

Further Readings and Future Directions

Bibliography

Authors' Biographies.

ISBN:

9783031018749

3031018745