Feature
发表于 2025-3-23 10:13:47
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Foam-Cells
发表于 2025-3-23 14:55:41
Further Readings and Future Directions,This chapter first lists the community search models that are not detailed in the previous chapters. We then conclude the book by discussing future directions and open problems for further research in community search over large graphs.
光亮
发表于 2025-3-23 21:44:30
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Intervention
发表于 2025-3-24 01:29:12
2153-5418 vailable real-world datasets and useful tools for facilitating further research, and by offering further readings and future directions of research in this impo978-3-031-00746-0978-3-031-01874-9Series ISSN 2153-5418 Series E-ISSN 2153-5426
Inexorable
发表于 2025-3-24 04:35:16
Book 2019thms, 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 impo
吝啬性
发表于 2025-3-24 08:59:28
2153-5418 logical, 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, c
流利圆滑
发表于 2025-3-24 11:20:55
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Carcinoma
发表于 2025-3-24 18:42:28
Birmingham’s Postindustrial Metall community search algorithms discussed in the previous chapters do not consider the vertices’ spatial information. In this chapter, we introduce the techniques of searching geo-social groups in geo-social networks by considering both the communities’ structural cohesiveness and spatial proximity.
triptans
发表于 2025-3-24 22:15:45
Attributed Community Search,ction (PPI) networks, citation graphs, and collaboration networks, nodes tend to have attributes. Most simple structural community search algorithms ignore these attributes and cannot find communities with good cohesion w.r.t. their node attributes.
概观
发表于 2025-3-25 01:42:51
Geo-Social Group Search,l community search algorithms discussed in the previous chapters do not consider the vertices’ spatial information. In this chapter, we introduce the techniques of searching geo-social groups in geo-social networks by considering both the communities’ structural cohesiveness and spatial proximity.