Morphogenesis of Spatial Networks

Author:   Marc Barthelemy
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2018
ISBN:  

9783319793092


Pages:   331
Publication Date:   06 June 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Morphogenesis of Spatial Networks


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Overview

This book develops a morphodynamical approach of spatial networks with a particular emphasis on infrastructure networks such as streets, roads and transportation networks (subway, train). The author presents the mathematical tools needed to characterize these structures and how they evolve in time. The book discusses the most important empirical results and stylized facts, and will present the most important models of spatial networks. The target audience primarily comprises research scientists interested in this rapidly evolving and highly interdisciplinary field, but the book may also be beneficial for graduate students interested in large networks.

Full Product Details

Author:   Marc Barthelemy
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2018
Weight:   0.726kg
ISBN:  

9783319793092


ISBN 10:   3319793098
Pages:   331
Publication Date:   06 June 2019
Audience:   College/higher education ,  Postgraduate, Research & Scholarly ,  Undergraduate
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

From complex to spatial networks.- Irrelevant and simple measures.- Statistics of faces and typology of planar graphs.- Betweenness centrality.- Simplicity and entropy.- Spatial dominance and community detection.- Measuring the time evolution of spatial networks.- Tessellations of the plane.- Random geometric graphs.- Spatial generalizations of random graphs.- Loops and branches.- Optimal networks.- Models of Network growth.- Greedy models.- Discussion and future directions

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