Temporal Network Theory
2., Second Edition 2023
Springer International Publishing
ISBN 978-3-031-30399-9
Standardpreis
Bibliografische Daten
eBook. PDF
2., Second Edition 2023. 2023
XI, 485 p. 140 illus., 120 illus. in color..
In englischer Sprache
Umfang: 485 S.
Verlag: Springer International Publishing
ISBN: 978-3-031-30399-9
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Computational Social Sciences
Produktbeschreibung
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 epidemic modeling, optimization of transportation and logistics, as well as understanding biological phenomena.
Over the past 20 years, network theory has proven to be one of the most powerful tools for studying and analyzing 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 book appeals to students, researchers, and professionals interested in theory and temporal networks-a field that has grown tremendously over the last decade.
This second edition of Temporal NetworkTheory extends the first with three chapters highlighting recent developments in the interface with machine learning.
Autorinnen und Autoren
Produktsicherheit
Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com