Community search over big graphs

Author(s)
    • Xin, Huang
    • Laks V.S. Lakshmanan
    • Xu, Jianliang
Bibliographic Information

Community search over big graphs

Xin Huang, Laks V.S. Lakshmanan, Jianliang Xu

(Synthesis lectures on data management, lecture #61)

Morgan & Claypool Publishers, c2019

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Note

Bibliography: p.169-185

Description and Table of Contents

Description

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.

Table of 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

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Details
  • NCID
    BB29279738
  • ISBN
    • 9781681735955
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    [San Rafael, California]
  • Pages/Volumes
    xvii, 188 p.
  • Size
    24 cm
  • Parent Bibliography ID
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