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Full Product Details

Author:   Ernesto Estrada ,  Maria Fox ,  Desmond J. Higham ,  Gian-Luca Oppo
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2010
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   1.200kg
ISBN:  

9781849963954

ISBN 10:   1849963959
Pages:   245
Publication Date:   20 September 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Complex Networks: An Invitation Resistance Distance, Information Centrality, Node Vulnerability and Vibrations in Complex Networks From Topology to Phenotype in Protein-Protein Interaction Networks Networks and Models with Heterogeneous Population Structure in Epidemiology NESSIE: Network Example Source Supporting Innovative Experimentation Networks in Urban Design: Six Years of Research in Multiple Centrality Assessment The Structure of Financial Networks A Hierarchy of Networks Spanning from Individual Organisms to Ecological Landscapes Revealing Structure of Complex Biological Systems Using Bayesian Networks Dynamics and Statistics of Extreme Events Dynamics of Networks of Leaky-Integrate-and-Fire Neurons

Reviews

From the reviews: Unlike many existing books that address mathematical network science or that focus on a single application area, this book collects papers written by experts specializing in different fields. ... the goal of this book is to broaden the view of readers. It focuses on applications of network science rather than on the mathematics of network analysis. It is suitable for readers with any background. (Hsun-Hsien Chang, ACM Computing Reviews, March, 2011)

From the reviews: Unlike many existing books that address mathematical network science or that focus on a single application area, this book collects papers written by experts specializing in different fields. ... the goal of this book is to broaden the view of readers. It focuses on applications of network science rather than on the mathematics of network analysis. It is suitable for readers with any background. (Hsun-Hsien Chang, ACM Computing Reviews, March, 2011)

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