© 2015

Propagation Phenomena in Real World Networks

  • Dariusz Król
  • Damien Fay
  • Bogdan Gabryś


  • 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


Part of the Intelligent Systems Reference Library book series (ISRL, volume 85)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Cai-Nicolas Ziegler, Jennifer Golbeck
    Pages 53-89
  3. Pavel Krömer, Petr Musilek
    Pages 155-181
  4. Ping Wang, Lei Wu, Baber Aslam, Cliff C. Zou
    Pages 183-214
  5. Vitor H. P. Louzada, Fabio Daolio, Hans J. Herrmann, Marco Tomassini
    Pages 215-224
  6. Damian Borys, Roman Jaksik, Michał Krześlak, Jarosław Śmieja, Andrzej Świerniak
    Pages 225-256
  7. Derek Doran, Veena Mendiratta
    Pages 257-292
  8. Back Matter
    Pages 361-364

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.”


Cascade Failures Complex Networks Epidemic Spreading Information Diffusion Intelligent Systems Predictive Models Propagation Phenomena Real World Networks Robustness of Networks Robustness/Reliability Estimation

Editors and affiliations

  • Dariusz Król
    • 1
  • Damien Fay
    • 2
  • Bogdan Gabryś
    • 3
  1. 1.Department of Information SystemsWrocław University of TechnologyWrocławPoland
  2. 2.School of Design, Engineering and ComputingBournemouth UniversityFern Barrow PooleUnited Kingdom
  3. 3.Computational Intelligence Research GroupBournemouth University Smart Technology Research CentrePooleUnited Kingdom

Bibliographic information

  • Book Title Propagation Phenomena in Real World Networks
  • Editors Dariusz Król
    Damien Fay
    Bogdan Gabryś
  • Series Title Intelligent Systems Reference Library
  • Series Abbreviated Title Intel.Syst.Ref.Library
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-15915-7
  • Softcover ISBN 978-3-319-38220-3
  • eBook ISBN 978-3-319-15916-4
  • 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
  • Topics Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site
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