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
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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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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 348 pp. Englisch. N° de réf. du vendeur 9789811353598
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers two hot topics synergetically: network epidemiology and temporal/adaptive networksIncludes an introductory chapter that serves as a compass for the entire volumeIndividual chapters contributed by leading scientists in the field. N° de réf. du vendeur 458825067
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Taschenbuch. Etat : Neu. Temporal Network Epidemiology | Naoki Masuda (u. a.) | Taschenbuch | Theoretical Biology | vi | Englisch | 2018 | Springer | EAN 9789811353598 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 115114176
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Covers two hot topics synergetically: network epidemiology and temporal/adaptive networksIncludes an introductory chapter that serves as a compass for the entire volumeIndividual chapters contributed by leading scientists in the fieldSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 348 pp. Englisch. N° de réf. du vendeur 9789811353598
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9789811353598
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