TABLE OF CONTENTS
Preface | |||
0 Modern architecture of random graphs | |||
1 What are networks? | |||
1.1 Basic notions | |||
1.2 Adjacency matrix | |||
1.3 Degree distribution | |||
1.4 Clustering | |||
1.5 Small worlds | |||
1.6 Giant components | |||
1.7 List of basic constructions | |||
1.8 List of main characteristics | |||
2 Popularity is attractive | |||
2.1 Attachment of edges without preference | |||
2.2 Preferential linking | |||
3 Real networks | |||
3.1 Networks of citations of scientific papers | |||
3.2 Communication networks: the WWW and the Internet | |||
3.2.1 Structure of the WWW | |||
3.2.2 Search in the WWW | |||
3.2.3 Structure of the Internet | |||
3.3 Networks of collaborations | |||
3.4 Biological networks | |||
3.4.1 Neural networks | |||
3.4.2 Networks of metabolic reactions | |||
3.4.3 Genome and protein networks | |||
3.4.4 Ecological and food webs | |||
3.4.5 Word Web of human language | |||
3.5 Telephone call graph | |||
3.6 Mail networks | |||
3.7 Power grids and industrial networks | |||
3.8 Electronic circuits | |||
3.9 Nets of software components | |||
3.10 Energy landscape networks | |||
3.11 Overview | |||
4 Equilibrium networks | |||
4.1 Statistical ensembles of random networks | |||
4.2 Classical random graphs | |||
4.3 How to build an equilibrium net | |||
4.4 Econophysics: condensation of wealth | |||
4.5 Condensation of edges in equilibrium networks | |||
4.6 Correlations in equilibrium networks | |||
4.7 Small-world networks | |||
4.7.1 The Watts--Strogatz model and its variations | |||
4.7.2 The smallest-world network | |||
5 Non-equilibrium networks | |||
5.1 Growing exponential networks | |||
5.2 The Barab'asi--Albert model | |||
5.3 Linear preference | |||
5.4 How the preferential linking emerges | |||
5.5 Scaling | |||
5.6 Generic scale of `scale-free' networks | |||
5.7 More realistic models | |||
5.8 Estimations for the WWW | |||
5.9 Non-linear preference | |||
5.10 Types of preference providing scale-free networks | |||
5.11 Condensation of edges in inhomogeneous nets | |||
5.12 Correlations in growing networks | |||
5.13 How to obtain a strong clustering | |||
5.14 Deterministic graphs | |||
5.15 Accelerated growth of networks | |||
5.16 Evolution of language | |||
5.17 Partial copying and duplication | |||
5.18 Non-equilibrium non-growing networks | |||
6 Global topology of networks | |||
6.1 Topology of undirected equilibrium networks | |||
6.2 Topology of directed equilibrium networks | |||
6.3 Failures and attacks | |||
6.4 Resilience against random breakdowns | |||
6.5 How viruses spread within networks | |||
6.6 The Ising model on a net | |||
6.7 Mesoscopics in networks | |||
6.8 How to destroy a network | |||
6.9 How to stop an epidemic | |||
6.10 BKTpercolation transition in growing networks | |||
6.11 When loops and correlations are important | |||
7 Growth of networks and self-organized criticality | |||
7.1 Preferential linking and the Simon model | |||
7.2 Econophysics: wealth distribution in evolving societies | |||
7.3 Multiplicative stochastic processes | |||
8 Philosophy of a small world | |||
Appendix | |||
A Relations for an adjacency matrix | |||
B How to measure a distribution | |||
C Statistics of cliques | |||
D Power-law preference | |||
E Inhomogeneous growing net | |||
F Z-transform | |||
G Critical phenomena in networks | |||
H A guide to the network literature | |||
References | |||
Index |