Epidemics and Rumours in Complex Networks
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| Title: | Epidemics and Rumours in Complex Networks |
|---|---|
| Description: | Information propagation through peer-to-peer systems, online social systems, wireless mobile ad hoc networks and other modern structures can be modelled as an epidemic on a network of contacts. Understanding how epidemic processes interact with network topology allows us to predict ultimate course, understand phase transitions and develop strategies to control and optimise dissemination. This book is a concise introduction for applied mathematicians and computer scientists to basic models, analytical tools and mathematical and algorithmic results. Mathematical tools introduced include coupling methods, Poisson approximation (the Stein–Chen method), concentration inequalities (Chernoff bounds and Azuma–Hoeffding inequality) and branching processes. The authors examine the small-world phenomenon, preferential attachment, as well as classical epidemics. Each chapter ends with pointers to the wider literature. An ideal accompaniment for graduate courses, this book is also for researchers (statistical physicists, biologists, social scientists) who need an efficient guide to modern approaches to epidemic modelling on networks. |
| Authors: | Moez Draief, Laurent Massoulié |
| Resource Type: | eBook. |
| Subjects: | Probabilities, Graph theory, Computer security--Mathematics, Epidemics--Computer simulation, Natural computation |
| Categories: | COMPUTERS / Data Transmission Systems / General, COMPUTERS / Networking / Vendor Specific |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Epidemics and Rumours in Complex Networks – Name: Abstract Label: Description Group: Ab Data: Information propagation through peer-to-peer systems, online social systems, wireless mobile ad hoc networks and other modern structures can be modelled as an epidemic on a network of contacts. Understanding how epidemic processes interact with network topology allows us to predict ultimate course, understand phase transitions and develop strategies to control and optimise dissemination. This book is a concise introduction for applied mathematicians and computer scientists to basic models, analytical tools and mathematical and algorithmic results. Mathematical tools introduced include coupling methods, Poisson approximation (the Stein–Chen method), concentration inequalities (Chernoff bounds and Azuma–Hoeffding inequality) and branching processes. The authors examine the small-world phenomenon, preferential attachment, as well as classical epidemics. Each chapter ends with pointers to the wider literature. An ideal accompaniment for graduate courses, this book is also for researchers (statistical physicists, biologists, social scientists) who need an efficient guide to modern approaches to epidemic modelling on networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Moez+Draief%22">Moez Draief</searchLink><br /><searchLink fieldCode="AR" term="%22Laurent+Massoulié%22">Laurent Massoulié</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Probabilities%22">Probabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Graph+theory%22">Graph theory</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+security--Mathematics%22">Computer security--Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemics--Computer+simulation%22">Epidemics--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+computation%22">Natural computation</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Transmission+Systems+%2F+General%22">COMPUTERS / Data Transmission Systems / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Networking+%2F+Vendor+Specific%22">COMPUTERS / Networking / Vendor Specific</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 004.6 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Probabilities Type: general – SubjectFull: Graph theory Type: general – SubjectFull: Computer security--Mathematics Type: general – SubjectFull: Epidemics--Computer simulation Type: general – SubjectFull: Natural computation Type: general Titles: – TitleFull: Epidemics and Rumours in Complex Networks Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Moez Draief – PersonEntity: Name: NameFull: Laurent Massoulié – PersonEntity: Name: NameFull: Moez Draief – PersonEntity: Name: NameFull: Laurent Massoulié IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2010 – D: 04 M: 02 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9780521517034 – Type: isbn-print Value: 9780521734431 – Type: isbn-electronic Value: 9781107362253 Numbering: – Type: volume Value: 00369 Titles: – TitleFull: Epidemics and Rumours in Complex Networks Type: main |
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