Overview
- Encapsulates percolation, spreading and diffusion on complex networks in one volume
- Includes several tips on building reliable systems to utilize/minimize propagation
- Presents fundamentals of propagation measures, principles, power and limitations
- Leverages an understanding of tipping point dynamics in epidemics and outcome prediction among competing viruses/products for the development of efficient, effective algorithms for immunization
- Covers both methodological and technological issues about the utilization of propagation phenomena
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 85)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
Keywords
About this book
“Propagation, which looks at spreading in complex networks, can be seen from many viewpoints; it is undesirable, or desirable, controllable, the mechanisms generating that propagation can be the topic of interest, but in the end all depends on the setting. This book covers leading research on a wide spectrum of propagation phenomenon and the techniques currently used in its modelling, prediction, analysis and control. Fourteen papers range over topics including epidemic models, models for trust inference, coverage strategies for networks, vehicle flow propagation, bio-inspired routing algorithms, P2P botnet attacks and defences, fault propagation in gene-cellular networks, malware propagation for mobile networks, information propagation in crisis situations, financial contagion in interbank networks, and finally how to maximize the spread of influence in social networks. The compendium will be of interest to researchers, those working in social networking, communications and finance and is aimed at providing a base point for further studies on current research. Above all, by bringing together research from such diverse fields, the book seeks to cross-pollinate ideas, and give the reader a glimpse of the breath of current research.”
Editors and Affiliations
Bibliographic Information
Book Title: Propagation Phenomena in Real World Networks
Editors: Dariusz Król, Damien Fay, Bogdan Gabryś
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-15916-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-15915-7Published: 31 March 2015
Softcover ISBN: 978-3-319-38220-3Published: 09 October 2016
eBook ISBN: 978-3-319-15916-4Published: 19 March 2015
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVIII, 364
Number of Illustrations: 65 b/w illustrations, 32 illustrations in colour