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  • © 2017

Temporal Network Epidemiology

  • Covers two hot topics synergetically: network epidemiology and temporal/adaptive networks

  • Includes an introductory chapter that serves as a compass for the entire volume

  • Individual chapters contributed by leading scientists in the field

Part of the book series: Theoretical Biology (THBIO)

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eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-981-10-5287-3
  • Instant PDF download
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  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)
Hardcover Book USD 169.99
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Table of contents (14 chapters)

  1. Front Matter

    Pages i-vi
  2. Introduction to Temporal Network Epidemiology

    • Naoki Masuda, Petter Holme
    Pages 1-16
  3. How Behaviour and the Environment Influence Transmission in Mobile Groups

    • Thomas E. Gorochowski, Thomas O. Richardson
    Pages 17-42
  4. Measuring Propagation with Temporal Webs

    • Aaron Bramson, Kevin Hoefman, Milan van den Heuvel, Benjamin Vandermarliere, Koen Schoors
    Pages 57-104
  5. Mean Field at Distance One

    • Ka Yin Leung, Mirjam Kretzschmar, Odo Diekmann
    Pages 105-128
  6. Epidemic Threshold in Temporally-Switching Networks

    • Leo Speidel, Konstantin Klemm, Víctor M. Eguíluz, Naoki Masuda
    Pages 161-177
  7. Control Strategies of Contagion Processes in Time-Varying Networks

    • Márton Karsai, Nicola Perra
    Pages 179-197
  8. Leveraging Topological and Temporal Structure of Hospital Referral Networks for Epidemic Control

    • Vitaly Belik, André Karch, Philipp Hövel, Rafael Mikolajczyk
    Pages 199-214
  9. Surveillance for Outbreak Detection in Livestock-Trade Networks

    • Frederik Schirdewahn, Vittoria Colizza, Hartmut H. K. Lentz, Andreas Koher, Vitaly Belik, Philipp Hövel
    Pages 215-240
  10. Optimal Containment of Epidemics in Temporal and Adaptive Networks

    • Masaki Ogura, Victor M. Preciado
    Pages 241-266
  11. Mapping Out Emerging Network Structures in Dynamic Network Models Coupled with Epidemics

    • István Z. Kiss, Luc Berthouze, Joel C. Miller, Péter L. Simon
    Pages 267-289
  12. Disease Spreading in Time-Evolving Networked Communities

    • Jorge M. Pacheco, Sven Van Segbroeck, Francisco C. Santos
    Pages 291-316

About this book

This book covers recent developments in epidemic process models and related data on temporally varying networks. It is widely recognized that contact networks are indispensable for describing, understanding, and intervening to stop the spread of infectious diseases in human and animal populations; “network epidemiology” is an umbrella term to describe this research field.

More recently, contact networks have been recognized as being highly dynamic. This observation, also supported by an increasing amount of new data, has led to research on temporal networks, a rapidly growing area. Changes in network structure are often informed by epidemic (or other) dynamics, in which case they are referred to as adaptive networks.

This volume gathers contributions by prominent authors working in temporal and adaptive network epidemiology, a field essential to understanding infectious diseases in real society.

Keywords

  • Temporal networks
  • Adaptive networks
  • Epidemic processes
  • Compartmental models
  • Big data
  • Outbreak
  • Infectious disease
  • Network epidemiology

Editors and Affiliations

  • Department of Engineering Mathematics, University of Bristol, Bristol, United Kingdom

    Naoki Masuda

  • Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan

    Petter Holme

About the editors

Naoki Masuda has been a Senior Lecturer at the University of Bristol’s Department of Engineering Mathematics since 2014. His research interests include both theoretical and data-science aspects of network science, computational neuroscience including neuroinformatics, behavioural ecology, and mathematical biology in general. He received his PhD from the University of Tokyo in 1998. After postdocs in Japan, he worked as a Lecturer and Associate Professor at the University of Tokyo between 2006 and 2014, prior to joining the University of Bristol.

Petter Holme is a specially appointed professor at the Institute of Innovative Research, Tokyo Institute of Technology, Japan. His research is both data driven and theoretical and covers many aspects of large-scale structures of natural and social systems. Lately he has also become interested in how to integrate information about time with network methods. Holme has a PhD in theoretical physics from Umeå University, Sweden. After postdocs at the Department of Physics, University of Michigan, and Department of Computer Science, University of New Mexico, he served as an Assistant Professor at the School for Computer Science and Communication, Royal Institute of Technology, Sweden; the Department of Physics, Umeå University, Sweden; and Sungkyunkwan University, Korea before joining Tokyo Institute of Technology. 

Bibliographic Information

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-981-10-5287-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)
Hardcover Book USD 169.99
Price excludes VAT (USA)