000 03565nam a22005655i 4500
001 978-3-031-79285-4
003 DE-He213
005 20240730164026.0
007 cr nn 008mamaa
008 220601s2018 sz | s |||| 0|eng d
020 _a9783031792854
_9978-3-031-79285-4
024 7 _a10.1007/978-3-031-79285-4
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aYing, Lei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981710
245 1 0 _aDiffusion Source Localization in Large Networks
_h[electronic resource] /
_cby Lei Ying, Kai Zhu.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXV, 79 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aArtificial intelligence.
_93407
650 0 _aCooperating objects (Computer systems).
_96195
650 0 _aProgramming languages (Electronic computers).
_97503
650 0 _aTelecommunication.
_910437
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aCyber-Physical Systems.
_932475
650 2 4 _aProgramming Language.
_939403
650 2 4 _aCommunications Engineering, Networks.
_931570
700 1 _aZhu, Kai.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981711
710 2 _aSpringerLink (Online service)
_981712
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031792861
776 0 8 _iPrinted edition:
_z9783031792847
776 0 8 _iPrinted edition:
_z9783031792878
830 0 _aSynthesis Lectures on Learning, Networks, and Algorithms,
_x2690-4314
_981713
856 4 0 _uhttps://doi.org/10.1007/978-3-031-79285-4
912 _aZDB-2-SXSC
942 _cEBK
999 _c85230
_d85230