Hardcover. This book highlights cutting-edge research in network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XIII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2024). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics, and spreading processes; machine learning and graph neural networks, as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks. This book highlights cutting-edge research in network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. machine learning and graph neural networks, as well as all the main network applications, including social and political networks; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Detalles bibliogr�ficos

T�tulo

Complex Networks & Their Applications XIII (Hardcover)

Editor

Springer International Publishing AG, Cham

Fecha de publicaci�n

2025

Idioma

Ingl�s

ISBN 10

3031824261

ISBN 13

9783031824265

Encuadernaci�n

Hardcover

Estado

new

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Sinopsis

This book highlights cutting-edge research in network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XIII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2024). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics, and spreading processes; machine learning and graph neural networks, as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.

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