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Dynamical Processes on Complex Networks Book

Dynamical Processes on Complex Networks
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Dynamical Processes on Complex Networks, The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these s, Dynamical Processes on Complex Networks
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  • Dynamical Processes on Complex Networks
  • Written by author Alain Barrat
  • Published by Cambridge University Press, 10/11/2012
  • The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these s
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Book Categories

Authors

1 Preliminaries : networks and graphs 1

2 Networks and complexity 24

3 Network models 50

4 Introduction to dynamical processes : theory and simulation 77

5 Phase transitions on complex networks 92

6 Resilience and robustness of networks 116

7 Synchronization phenomena in networks 136

8 Walking and searching on networks 160

9 Epidemic spreading in population networks 180

10 Social networks and collective behavior 216

11 Traffic on complex networks 242

12 Networks in biology : from the cell to ecosystems 267

13 Postface : critically examining complex network science 294

App. 1 Random graphs 298

App. 2 Generating functions formalism 303

App. 3 Percolation in directed networks 306

App. 4 Laplacian matrix of a graph 310

App. 5 Return probability and spectral density 311

References 313

Index 344


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Dynamical Processes on Complex Networks, The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these s, Dynamical Processes on Complex Networks

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Dynamical Processes on Complex Networks, The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these s, Dynamical Processes on Complex Networks

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