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© 2017

Temporal Network Epidemiology

  • Naoki Masuda
  • Petter Holme
Book

Part of the Theoretical Biology book series (THBIO)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Naoki Masuda, Petter Holme
    Pages 1-16
  3. Thomas E. Gorochowski, Thomas O. Richardson
    Pages 17-42
  4. Aaron Bramson, Kevin Hoefman, Milan van den Heuvel, Benjamin Vandermarliere, Koen Schoors
    Pages 57-104
  5. Ka Yin Leung, Mirjam Kretzschmar, Odo Diekmann
    Pages 105-128
  6. Leo Speidel, Konstantin Klemm, Víctor M. Eguíluz, Naoki Masuda
    Pages 161-177
  7. Márton Karsai, Nicola Perra
    Pages 179-197
  8. Vitaly Belik, André Karch, Philipp Hövel, Rafael Mikolajczyk
    Pages 199-214
  9. Frederik Schirdewahn, Vittoria Colizza, Hartmut H. K. Lentz, Andreas Koher, Vitaly Belik, Philipp Hövel
    Pages 215-240
  10. Masaki Ogura, Victor M. Preciado
    Pages 241-266
  11. István Z. Kiss, Luc Berthouze, Joel C. Miller, Péter L. Simon
    Pages 267-289
  12. Jorge M. Pacheco, Sven Van Segbroeck, Francisco C. Santos
    Pages 291-316

About this book

Introduction

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

  • Naoki Masuda
    • 1
  • Petter Holme
    • 2
  1. 1.Department of Engineering MathematicsUniversity of BristolBristolUnited Kingdom
  2. 2.Institute of Innovative ResearchTokyo Institute of TechnologyYokohamaJapan

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