Temporal Network Theory (22 results)

Hardcover. Condition: Very Good. 1. Auflage. Unread, cover with shelfwear or minor damages. Immediately dispatched from Germany.

Condition: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 500 | Sprache: Englisch | Produktart: Bücher | 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 datä 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. …

Taschenbuch. Condition: Neu. Temporal Network Theory | Petter Holme (u. a.) | Taschenbuch | xi | Englisch | 2024 | Springer | EAN 9783031304019 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condition: New. pp. XI + 485.

Condition: New. 2nd ed. 2023 edition NO-PA16APR2015-KAP.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This bookfocuses 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.…

Buch. Condition: 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.…

Softcover. Condition: gut. 2024. Temporal Network Theory In deutscher Sprache. pages.

Condition: new. Questo è un articolo print on demand.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware Englisch.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This bookfocuses 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 Network Theory extends the first with three chapters highlighting recent developments in the interface with machine learning. 485 pp. Englisch.…

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Buch. Condition: 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.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 500 pp. Englisch.…

Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 500 pp. Englisch.…

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Condition: New. PRINT ON DEMAND pp. XI + 485.

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This bookfocuses 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.…