000 | 03545nam a22005295i 4500 | ||
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001 | 978-3-031-01874-9 | ||
003 | DE-He213 | ||
005 | 20240730163739.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2019 sz | s |||| 0|eng d | ||
020 |
_a9783031018749 _9978-3-031-01874-9 |
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024 | 7 |
_a10.1007/978-3-031-01874-9 _2doi |
|
050 | 4 | _aTK5105.5-5105.9 | |
072 | 7 |
_aUKN _2bicssc |
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_aCOM043000 _2bisacsh |
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_aUKN _2thema |
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_a004.6 _223 |
100 | 1 |
_aHuang, Xin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980340 |
|
245 | 1 | 0 |
_aCommunity Search over Big Graphs _h[electronic resource] / _cby Xin Huang, Laks V.S. Lakshmanan, Jianliang Xu. |
250 | _a1st ed. 2019. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
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300 |
_aXVII, 188 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_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. | ||
650 | 0 |
_aComputer networks . _931572 |
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650 | 0 |
_aData structures (Computer science). _98188 |
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650 | 0 |
_aInformation theory. _914256 |
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650 | 1 | 4 |
_aComputer Communication Networks. _980341 |
650 | 2 | 4 |
_aData Structures and Information Theory. _931923 |
700 | 1 |
_aLakshmanan, Laks V.S. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980342 |
|
700 | 1 |
_aXu, Jianliang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980343 |
|
710 | 2 |
_aSpringerLink (Online service) _980344 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031001017 |
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_iPrinted edition: _z9783031007460 |
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_iPrinted edition: _z9783031030024 |
830 | 0 |
_aSynthesis Lectures on Data Management, _x2153-5426 _980345 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01874-9 |
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