MARC details
| 000 -LEADER |
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| fixed length control field |
01955nmm a2200229Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220920s9999||||xx |||||||||||||| ||und|| |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780511806018 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
004.6 |
| Item number |
D788E |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Draief, M. |
| Relator term |
Author |
| Language of a work |
English |
| 9 (RLIN) |
1791 |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Epidemics and Rumours in Complex Networks |
| Statement of responsibility, etc. |
/ by M. Draief and L. Massoulie. |
| Medium |
[Electronic Resource] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cambridge |
| Name of publisher, distributor, etc. |
: Cambridge University Press, |
| Date of publication, distribution, etc. |
2009 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
vi, 123p. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
London Mathematical Society Lecture Note Series |
| 9 (RLIN) |
1792 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Computer Science |
| 9 (RLIN) |
926 |
|
|---|
| Topical term or geographic name entry element |
Mathematics |
| 9 (RLIN) |
13 |
|
|---|
| Topical term or geographic name entry element |
Networks |
| 9 (RLIN) |
1793 |
|
|---|
| Topical term or geographic name entry element |
Stochastic Networks |
| 9 (RLIN) |
1794 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Massoulie, L. |
| Relationship information |
[Author] |
| 9 (RLIN) |
1795 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1017/CBO9780511806018">https://doi.org/10.1017/CBO9780511806018</a> |
| Electronic format type |
PDF |
| Link text |
Click to Access the Online Book |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
e-Book |
| Suppress in OPAC |
|
