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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Table of contents (14 chapters)
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.
- Temporal networks
- Adaptive networks
- Epidemic processes
- Compartmental models
- Big data
- Infectious disease
- Network epidemiology
Editors and Affiliations
Department of Engineering Mathematics, University of Bristol, Bristol, United Kingdom
Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan
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.
Book Title: Temporal Network Epidemiology
Editors: Naoki Masuda, Petter Holme
Series Title: Theoretical Biology
Publisher: Springer Singapore
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-5286-6Published: 17 October 2017
Softcover ISBN: 978-981-13-5359-8Published: 12 December 2018
eBook ISBN: 978-981-10-5287-3Published: 04 October 2017
Series ISSN: 2522-0438
Series E-ISSN: 2522-0446
Edition Number: 1
Number of Pages: VI, 342
Number of Illustrations: 38 b/w illustrations, 83 illustrations in colour