000			03156nam a2200433 i 4500
999			_c387647 _d387647
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003			ES-MaUEC
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007			cr nn 008mamaa
008			220601s2018 sz | o |||| 0|eng d
020			_a9783031792854
024	7		_a10.1007/978-3-031-79285-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA274.7 _b2018 EB
100	1		_aYing, Lei _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687830
245	1	0	_aDiffusion Source Localization in Large Networks _cby Lei Ying, Kai Zhu
250			_a1st edition 2018
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XV, 79 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Learning Networks and Algorithms _x2690-4314
505	0		_aPreface -- Acknowledgments -- Motivation and Background -- Source Localization under Discrete-Time Diffusion Models -- Source Localization under Continuous-Time Diffusion Models -- Source Localization with Partial Timestamps -- Open Questions -- Bibliography -- Authors' Biographies.
520			_aDiffusion processes in large networks have been used to model many real-world phenomena, including how rumors spread on the Internet, epidemics among human beings, emotional contagion through social networks, and even gene regulatory processes. Fundamental estimation principles and efficient algorithms for locating diffusion sources can answer a wide range of important questions, such as identifying the source of a widely spread rumor on online social networks. This book provides an overview of recent progress on source localization in large networks, focusing on theoretical principles and fundamental limits. The book covers both discrete-time diffusion models and continuous-time diffusion models. For discrete-time diffusion models, the book focuses on the Jordan infection center; for continuous-time diffusion models, it focuses on the rumor center. Most theoretical results on source localization are based on these two types of estimators or their variants. This book also includes algorithms that leverage partial-time information for source localization and a brief discussion of interesting unresolved problems in this area.
988			_aSynthesis Collection of Technology_2018
650		7	_2embne _9668313 _aMarkov, Procesos de
650		7	_2embne _9405190 _aProcesos estocásticos
700	1		_aZhu, Kai _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687831
776	0	8	_iPrinted edition: _z9783031792861
776	0	8	_iPrinted edition: _z9783031792847
776	0	8	_iPrinted edition: _z9783031792878
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79285-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eb _zSI