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The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in recent years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyse network data on an unprecendented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social science. This text brings together the most important breakthroughts in each of these fields and presents them in a unified fashion, highlighting the strong interconnections between work in different areas

1. Introduction -- 2. Technological Networks -- 3. Social Networks -- 4. Networks of information -- 5. Biological Networks -- 6. Mathematics of Networks -- 7. Measures and Metrics -- 8. The Large-scale Structure of Networks -- 9. Basic Concepts of Algorithms -- 10. Fundamental Network Algorithms -- 11. Matrix Algorithms and Graph Partitioning -- 12. Random Graphs -- 13. Generalized Random Graphs with general degree distributions -- 14. Models of Network Formation -- 15. Other Network Models -- 16. Percolation and Network Resilience -- 17. Epidemics on Networks -- 18. Dynamical Systems on Networks -- 19. Network Search -- References -- Index