The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Modeling the Internet's large-scale topology
Open accessAbstract
Network generators that capture the Internet's large-scale topology are crucial for the development of efficient routing protocols and modeling Internet traffic. Our ability to design realistic generators is limited by the incomplete understanding of the fundamental driving forces that affect the Internet's evolution. By combining several independent databases capturing the time evolution, topology, and physical layout of the Internet, we identify the universal mechanisms that shape the Internet's router and autonomous system level topology. We find that the physical layout of nodes form a fractal set, determined by population density patterns around the globe. The placement of links is driven by competition between preferential attachment and linear distance dependence, a marked departure from the currently used exponential laws. The universal parameters that we extract significantly restrict the class of potentially correct Internet models and indicate that the networks created by all available topology generators are fundamentally different from the current Internet.
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Cites
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534
Self-citationBose-Einstein Condensation in Complex Networks
Bianconi, G., & Barabási, A.-L. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.5632 · Cited by 808
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Cited by
The Structure and Function of Complex Networks
Newman, M. E. J. (2003) · SIAM Review · doi:10.1137/s003614450342480 · Cited by 18,719
The economy of brain network organization
Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284
Barthélemy, M. (2011) · Physics Reports · doi:10.1016/j.physrep.2010.11.002 · Cited by 2,469
Weaponized Interdependence: How Global Economic Networks Shape State Coercion
Farrell, H., & Newman, A. L. (2019) · International Security · doi:10.1162/isec_a_00351 · Cited by 1,879
Large-scale topological and dynamical properties of the Internet
Vázquez, A., Pastor-Satorras, R., & Vespignani, A. (2002) · Physical Review E · doi:10.1103/physreve.65.066130 · Cited by 712
A tutorial in connectome analysis: Topological and spatial features of brain networks
Kaiser, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.025 · Cited by 371
Structural properties of planar graphs of urban street patterns
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Wiring cost in the organization of a biological neuronal network
Ahn, Y.-Y., Jeong, H., & Kim, B. J. (2006) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2005.12.013 · Cited by 69
Self-citationGenerative models of rich clubs in Hebbian neuronal networks and large-scale human brain networks
Vértes, P. E., Alexander-Bloch, A., & Bullmore, E. T. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0531 · Cited by 50
Metadata
- Authors
- Yook, S.-H., Jeong, H., & Barabási, A.-L.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2002-10-04
- Volume
- 99
- Issue
- 21
- Pages
- 13382-13386
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2139708889
- Cited by
- 665
- References
- 3
- FWCI
- 21.31
- Type
- journal article
- Language
- en
- Open access
- green
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