Synopsis
This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization of transportation and logistics, as well as understanding biological phenomena.
Network theory has proven, over the past 20 years to be one of the most powerful tools for the study and analysis of complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the "big data" sets. This monograph will appeal to students, researchers and professionals alike interested in theory and temporal networks, a field that has grown tremendously over the last decade.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l'auteur
Petter Holme is a specially appointed professor at Tokyo Institute of Technology. His research interests cover many aspects of network science―from data science to theory. He has about 150 scientific publications including about 30 on temporal networks.
Jari Saramäki is a full professor of computational science at Aalto University, Finland. His research focuses on complex systems and networks, with applications ranging from computational social science to network neuroscience and biomedicine.Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Temporal Network Theory (Computational Social Sciences) [Hardcover] Holme
Edité par
Springer, 2019
ISBN 10 : 3030234940
ISBN 13 : 9783030234942
Ancien ou d'occasion
Couverture rigide
Edition originale
Vendeur : SpringBooks, Berlin, Allemagne
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Hardcover. Etat : Very Good. 1. Auflage. Unread, cover with shelfwear or minor damages. Immediately dispatched from Germany. N° de réf. du vendeur CE-2403C-WANZE-02-1000
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Temporal Network Theory
Edité par
Springer International Publishing Nov 2019, 2019
ISBN 10 : 3030234940
ISBN 13 : 9783030234942
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization of transportation and logistics, as well as understanding biological phenomena.Network theory has proven, over the past 20 years to be one of the most powerful tools for the study and analysis of complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the 'big data' sets. This monograph will appeal to students, researchers and professionals alike interested in theory and temporal networks, a field that has grown tremendously over the last decade. 384 pp. Englisch. N° de réf. du vendeur 9783030234942
Acheter neuf
EUR 192,59
Expédition à EUR 23
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
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Temporal Network Theory
Edité par
Springer, Berlin, Springer International Publishing, Japan Society For The Promotion Of Science, Springer, 2019
ISBN 10 : 3030234940
ISBN 13 : 9783030234942
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization of transportation and logistics, as well as understanding biological phenomena.Network theory has proven, over the past 20 years to be one of the most powerful tools for the study and analysis of complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the 'big data' sets. This monograph will appeal to students, researchers and professionals alike interested in theory and temporal networks, a field that has grown tremendously over the last decade. N° de réf. du vendeur 9783030234942
Acheter neuf
EUR 196,27
Expédition à EUR 63,62
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)