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008			220601s2019 sz | s |||| 0|eng d
020			_a9783031018749
024	7		_a10.1007/978-3-031-01874-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.B45 _b2019 EB
100	1		_aHuang, Xin _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687058 _c(Computer scientist)
245	1	0	_aCommunity Search over Big Graphs _cby Xin Huang, Laks V.S. Lakshmanan, Jianliang Xu
250			_a1st edition 2019
264		1	_aCham _bSpringer International Publishing _c2019
300			_a1 recurso en línea (XVII, 188 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Data Management _x2153-5426
505	0		_aAcknowledgments -- 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.
520			_aCommunities 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.
988			_aSynthesis Collection of Technology_2019
700	1		_aLakshmanan, Laks V. S. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686316 _d1959-
700	1		_aXu, Jianliang, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687059 _d1976-
776	0	8	_iPrinted edition: _z9783031001017
776	0	8	_iPrinted edition: _z9783031007460
776	0	8	_iPrinted edition: _z9783031030024
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01874-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI