Complex Networks
Structure, Robustness and Function

Graduate-level textbook examining important results and analytical techniques through a step-by-step presentation of the structure and function of complex networks.

Reuven Cohen (Author), Shlomo Havlin (Author)

9780521841566, Cambridge University Press

Hardback, published 8 July 2010

248 pages, 56 b/w illus. 65 exercises
25.3 x 19.3 x 1.6 cm, 0.7 kg

Examining important results and analytical techniques, this graduate-level textbook is a step-by-step presentation of the structure and function of complex networks. Using a range of examples, from the stability of the internet to efficient methods of immunizing populations, and from epidemic spreading to how one might efficiently search for individuals, this textbook explains the theoretical methods that can be used, and the experimental and analytical results obtained in the study and research of complex networks. Giving detailed derivations of many results in complex networks theory, this is an ideal text to be used by graduate students entering the field. End-of-chapter review questions help students monitor their own understanding of the materials presented.

1. Introduction
Part I. Random Network Models: 2. The Erdos–Renyi models
3. Observations in real-world networks
4. Models for complex networks
5. Growing network models
Part II. Structure and Robustness of Complex Networks: 6. Distances in scale-free networks: the ultra small world
7. Self-similarity in complex networks
8. Distances in geographically embedded networks
9. The network's structure - the generating function method
10. Percolation on complex networks
11. Structure of random directed networks - the bow tie
12. Introducing weights: bandwidth allocation and multimedia broadcasting
Part III. Network Function: Dynamics and Applications: 13. Optimization of the network structure
14. Epidemiological models
15. Immunization
16. Thermodynamic models on networks
17. Spectral properties, transport, diffusion and dynamics
18. Searching in networks
19. Biological networks and network motifs
Part Appendix A. Probability theoretical methods
Appendix B. Asymptotics and orders of magnitude
Appendix C. Algorithms for network simulation and investigation
References
Index.

Subject Areas: Physical chemistry [PNR], Statistical physics [PHS]