Evolution and Structure of the Internet
A Statistical Physics Approach
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Product details:
- Publisher Cambridge University Press
- Date of Publication 12 February 2004
- ISBN 9780521826983
- Binding Hardback
- No. of pages284 pages
- Size 255x180x21 mm
- Weight 793 g
- Language English
- Illustrations 81 b/w illus. 8 tables 0
Categories
Short description:
This book, first published in 2004, applies statistical physics and complex systems theory to the evolution and structure of the Internet.
MoreLong description:
This book, first published in 2004, describes the application of statistical physics and complex systems theory to the study of the evolution and structure of the Internet. Using a statistical physics approach the Internet is viewed as a growing system that evolves in time through the addition and removal of nodes and links. This perspective permits us to outline the dynamical theory required for a description of the macroscopic evolution of the Internet. The presence of such a theoretical framework appears to be a revolutionary and promising path towards our understanding of the Internet and the various processes taking place on this network, including, for example, the spread of computer viruses or resilience to random or intentional damages. This book will be of interest to graduate students and researchers in statistical physics, computer science and mathematics studying in this subject.
'This book illustrates again how the ideas of physics seem to apply to almost everything.' New Scientist
Table of Contents:
Preface; List of abbreviations; 1. A brief history of the Internet; 2. How the Internet works; 3. Measuring the global Internet; 4. The Internet's large-scale topology; 5. Modeling the Internet; 6. Internet robustness; 7. Virtual and social networks in the Internet; 8. Searching and walking on the Internet; 9. Epidemics in the Internet; 10. Beyond the Internet's skeleton: traffic and global performance; 11. Outlook; Appendix I: graph theory applied to topology analysis; Appendix II: interface resolution and router topology; Appendix III: numerical analysis of heavy-tailed distributions; Appendix IV: degree correlations; Appendix V: scale-free networks: scaling relations; Appendix VI: the SIR model of virus propagation; References; Index.
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