The "robust yet fragile" nature of the Internet.
By J. Doyle, David L. Alderson, Lun Li, Steven H. Low, Matthew Roughan, S. Shalunov, Reiko Tanaka, Walter Willinger. Proceedings of the National Academy of Sciences of the United States of America, 2005
502 citations recorded by the source corpus.
The search for unifying properties of complex networks is popular, challenging, and important. For modeling approaches that focus on robustness and fragility as unifying concepts, the Internet is an especially attractive case study, mainly because its applications are ubiquitous and pervasive, and widely available exposition exists at every level of detail. Nevertheless, alternative approaches to modeling the Internet often make extremely different assumptions and derive opposite conclusions about fundamental properties of one and the same system. Fortunately, a detailed understanding of Internet technology combined with a unique ability to measure the network means that these differences can be understood thoroughly and resolved unambiguously. This article aims to make recent results of this process accessible beyond Internet specialists to the broader scientific community and to clarify several sources of basic methodological differences that are relevant beyond either the Internet or the two specific approaches focused on here (i.e., scale-free networks and highly optimized tolerance networks).
Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/ac9b109b412a7932ac823818db0fc3c274ad2225
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In Computer Networks and Communications
- Steven L. Brunton
- J. Nathan Kutz
- Olaf Sporns
- Marco Grassia
- Simon Knight
- Krithika Manohar
- Hung Xuan Nguyen
- John C. Doyle
In Statistical and Nonlinear Physics
- Steven L. Brunton
- J. Nathan Kutz
- Bingni W. Brunton
- Krithika Manohar
- Olaf Sporns
- Maizar Raissi
- E. Bullmore
- Joshua L. Proctor
Citations in the corpus
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