Téléchargez le livre : Temporal Network Theory

Temporal Network Theory

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Éditeur :

Springer


Collection :

Computational Social Sciences

Paru le : 2023-11-20

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Description

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.
Pages
485 pages
Collection
Computational Social Sciences
Parution
2023-11-20
Marque
Springer
EAN papier
9783031303982
EAN PDF
9783031303999
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
48
Taille du fichier
21033 Ko
Prix
158,24 €
EAN EPUB
9783031303999
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
48
Taille du fichier
58788 Ko
Prix
158,24 €

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