Description
Book SynopsisThis text is a concise modern introduction to the science of complex networks, and is based on lectures for university students and non-specialists. The author aims to introduce a reader without serious background in mathematics or physics to the world of networks. The lectures fill the existing gap between popular science books and comprehensive reference volumes on complex networks, and provide the shortest path to the world of networks, discussing the main directions of modern research in this active field, as well as the history of network studies. The text describes the current state of the art in complex networks and includes recent results, and will be useful for both teaching and self-study.
Trade ReviewDorogovtsev is one of the top researchers in probably the hottest new research field today: networks science. He is responsible for a number of fundamental results pertaining to the structure and dynamics of scale-free networks. In this book we see a different aspect of him: as an educator, he offers a concise introduction to complex networks. Lectures on Complex Networks is a wonderful elementary yet non-compromising starting point for anybody who would like to get acquainted with the science of networks. * Albert-Laszlo Barabasi, Center for Complex Network Research, Northeastern University, US *
An introduction likely to be of interest to serious students at an undergraduate level or above who are interested in the recent work on understanding complex networks. * Nigel Gilbert, University of Surrey, UK *
Complex networks are an important topic and this book will fill a space in the market between the popular science books and the technical reference works on the topic. * Geoff Rodgers, Brunel University, UK *
Table of Contents1. First steps towards networks ; 2. Classical random graphs ; 3. Small and large worlds ; 4. From the Internet to cellular networks ; 5. Uncorrelated networks ; 6. Percolation and epidemics ; 7. Self-organization of networks ; 8. Correlations in networks ; 9. Weighted networks ; 10. Motifs, cliques, communities ; 11. Navigation and search ; 12. Traffic ; 13. Interacting systems on networks ; 14. Optimization ; 15. Outlook
