Temporal Network Epidemiology

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Éditeur :

Springer

Paru le : 2017-10-04

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; “...
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Éditeur

Collection
n.c

Parution
2017-10-04

Pages
342 pages

EAN papier
9789811052866

Auteur(s) du livre


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. 

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EAN PDF
9789811052873
Prix
137,14 €
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
17910 Ko
EAN EPUB
9789811052873
Prix
137,14 €
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
4659 Ko

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