Modularity and Dynamics on Complex Networks

Author:   Renaud Lambiotte (University of Oxford) ,  Michael T. Schaub (RWTH Aachen University, Germany)
Publisher:   Cambridge University Press
Edition:   New edition
ISBN:  

9781108733533


Pages:   75
Publication Date:   03 February 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Modularity and Dynamics on Complex Networks


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Overview

Complex networks are typically not homogeneous, as they tend to display an array of structures at different scales. A feature that has attracted a lot of research is their modular organisation, i.e., networks may often be considered as being composed of certain building blocks, or modules. In this Element, the authors discuss a number of ways in which this idea of modularity can be conceptualised, focusing specifically on the interplay between modular network structure and dynamics taking place on a network. They discuss, in particular, how modular structure and symmetries may impact on network dynamics and, vice versa, how observations of such dynamics may be used to infer the modular structure. They also revisit several other notions of modularity that have been proposed for complex networks and show how these can be related to and interpreted from the point of view of dynamical processes on networks.

Full Product Details

Author:   Renaud Lambiotte (University of Oxford) ,  Michael T. Schaub (RWTH Aachen University, Germany)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Edition:   New edition
Dimensions:   Width: 15.20cm , Height: 0.60cm , Length: 22.90cm
Weight:   0.160kg
ISBN:  

9781108733533


ISBN 10:   1108733530
Pages:   75
Publication Date:   03 February 2022
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction; 2. Background Material; 3. Modularity, community detection and clustering in networks; 4. Time scale separation and dynamics on modular networks; 5. Symmetries and dynamics on modular networks; 6. Dynamical methods for assortative communities; 7. Dynamical methods for disassortative communities and general block structures; 8. Perspectives; References.

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