Community Search over Big Graphs is popular PDF and ePub book, written by Xin Huang in 2022-05-31, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Community Search over Big Graphs can be Read Online from any device for your convenience.

Community Search over Big Graphs Book PDF 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.

Detail Book of Community Search over Big Graphs PDF

Community Search over Big Graphs
  • Author : Xin Huang
  • Release : 31 May 2022
  • Publisher : Springer Nature
  • ISBN : 9783031018749
  • Genre : Computers
  • Total Page : 188 pages
  • Language : English
  • PDF File Size : 13,9 Mb

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