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Springer Temporal Networks - Understanding Complex Systems

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Description

Temporal Networks (Understanding Complex Systems) by Springer provides a deep look into how time-dependent information changes our understanding of network structures. While traditional studies often pre-encode temporal aspects within dynamic system models, this work introduces a framework that lifts temporal information directly into the mathematical representation of the contact network itself. This approach offers a new way to analyze how the timing of interactions between nodes affects the behavior of complex systems. By moving beyond static network structures, this text serves as an essential resource for those studying how temporal aspects influence dynamic systems on a network.

Key Features

This Springer publication explores temporal networks as an extension of complex networks to include timing information in node interactions.

The text examines how temporal information is lifted from system dynamics to the mathematical representation of the contact network itself.

Readers gain insight into how static network structures affect dynamic systems compared to traditional modeling approaches.

This book provides a specialized framework for understanding the relationship between time and complex network mathematics.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 June 2013
Listed Since
18 January 2013

Barcode

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