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Evolution and Structure of the Internet: A Statistical Physics Approach
Abstract
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.
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Citations
Cited by
Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293
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BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010
Catastrophic cascade of failures in interdependent networks
Buldyrev, S. V., Parshani, R., Paul, G., Stanley, H. E., & Havlin, S. (2010) · Nature · doi:10.1038/nature08932 · Cited by 4,513
Statistical physics of social dynamics
Castellano, C., Fortunato, S., & Loreto, V. (2009) · Reviews of Modern Physics · doi:10.1103/revmodphys.81.591 · Cited by 4,119
Epidemic processes in complex networks
Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015) · Reviews of Modern Physics · doi:10.1103/revmodphys.87.925 · Cited by 3,697
Self-citationResolution limit in community detection
Fortunato, S., & Barthélemy, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605965104 · Cited by 3,024
Holme, P., & Saramäki, J. (2012) · Physics Reports · doi:10.1016/j.physrep.2012.03.001 · Cited by 2,736
Critical phenomena in complex networks
Dorogovtsev, S. N., Goltsev, A. V., & Mendes, J. F. F. (2008) · Reviews of Modern Physics · doi:10.1103/revmodphys.80.1275 · Cited by 2,220
Self-similarity of complex networks
Song, C., Havlin, S., & Makse, H. A. (2005) · Nature · doi:10.1038/nature03248 · Cited by 1,495
Detecting rich-club ordering in complex networks
Colizza, V., Flammini, A., Serrano, M. A., & Vespignani, A. (2006) · Nature Physics · doi:10.1038/nphys209 · Cited by 1,001
Self-citationParshani, R., Buldyrev, S. V., & Havlin, S. (2010) · Physical Review Letters · doi:10.1103/physrevlett.105.048701 · Cited by 788
Communities, modules and large-scale structure in networks
Newman, M. E. J. (2012) · Nature Physics · doi:10.1038/nphys2162 · Cited by 787
The network analysis of urban streets: A dual approach
Porta, S., Crucitti, P., & Latora, V. (2006) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2005.12.063 · Cited by 749
Activity driven modeling of time varying networks
Perra, N., Gonçalves, B., Pastor-Satorras, R., & Vespignani, A. (2012) · Scientific Reports · doi:10.1038/srep00469 · Cited by 709
Self-citationNavigability of complex networks
Boguñá, M., Krioukov, D., & Claffy, K. C. (2009) · Nature Physics · doi:10.1038/nphys1130 · Cited by 486
Sustaining the Internet with hyperbolic mapping
Boguñá, M., Papadopoulos, F., & Krioukov, D. (2010) · Nature Communications · doi:10.1038/ncomms1063 · Cited by 463
Citation Statistics from 110 Years of Physical Review
Redner, S. (2005) · Physics Today · doi:10.1063/1.1996475 · Cited by 426
Andrade, J. S., Herrmann, H. J., Andrade, R. F. S., & da Silva, L. R. (2005) · Physical Review Letters · doi:10.1103/physrevlett.94.018702 · Cited by 398
Structural properties of planar graphs of urban street patterns
Cardillo, A., Scellato, S., Latora, V., & Porta, S. (2006) · Physical Review E · doi:10.1103/physreve.73.066107 · Cited by 370
Approaching human language with complex networks
Cong, J., & Liu, H. (2014) · Physics of Life Reviews · doi:10.1016/j.plrev.2014.04.004 · Cited by 212
Emergence of weight-topology correlations in complex scale-free networks
Bianconi, G. (2005) · Europhysics Letters (EPL) · doi:10.1209/epl/i2005-10167-2 · Cited by 85
Topological Structure of Urban Street Networks from the Perspective of Degree Correlations
Jiang, B., Duan, Y., Lu, F., Yang, T., & Zhao, J. (2014) · Environment and Planning B: Planning and Design · doi:10.1068/b39110 · Cited by 38
Hierarchy in directed random networks
Mones, E. (2013) · Physical Review E · doi:10.1103/physreve.87.022817 · Cited by 16
Metadata
- Authors
- Pastor-Satorras, R., & Vespignani, A.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2004-02-12
- OpenAlex
- W1932416503
- Cited by
- 1,310
- References
- 0
- FWCI
- 29.32
- Type
- book
- Language
- en
- Open access
- closed
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