The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Internet Topology Zoo
Abstract
The study of network topology has attracted a great deal of attention in the last decade, but has been hampered by a lack of accurate data. Existing methods for measuring topology have flaws, and arguments about the importance of these have overshadowed the more interesting questions about network structure. The Internet Topology Zoo is a store of network data created from the information that network operators make public. As such it is the most accurate large-scale collection of network topologies available, and includes meta-data that couldn't have been measured. With this data we can answer questions about network structure with more certainty than ever before - we illustrate its power through a preliminary analysis of the PoP-level topology of over 140 networks. We find a wide range of network designs not conforming as a whole to any obvious model.
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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
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Hagberg, A. A., Schult, D. A., & Swart, P. J. (2008) · Proceedings of the Python in Science Conference · doi:10.25080/tcwv9851 · Cited by 7,477
Cited by
PINT: Probabilistic In-band Network Telemetry
Ben Basat, R., Ramanathan, S., Li, Y., Antichi, G., Yu, M., & Mitzenmacher, M. (2020) · Proceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication · doi:10.1145/3387514.3405894 · Cited by 268
Routing for Crowd Management in Smart Cities: A Deep Reinforcement Learning Perspective
Zhao, L., Wang, J., Liu, J., & Kato, N. (2019) · IEEE Communications Magazine · doi:10.1109/mcom.2019.1800603 · Cited by 126
A load-balancing mechanism for distributed SDN control plane using response time
Cui, J., Lu, Q., Zhong, H., Tian, M., & Liu, L. (2018) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2018.2876369 · Cited by 130
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
Wu, J., Dong, F., Leung, H., Zhu, Z., Zhou, J., & Drew, S. (2024) · ACM Computing Surveys · doi:10.1145/3659205 · Cited by 130
Network-Wide Configuration Synthesis
El-Hassany, A., Tsankov, P., Vanbever, L., & Vechev, M. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-63390-9_14 · Cited by 93
Metadata
- Authors
- Knight, S., Nguyen, H. X., Falkner, N., Bowden, R., & Roughan, M.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2011-10
- Volume
- 29
- Issue
- 9
- Pages
- 1765-1775
- ISSN
- 0733-8716 (ISSN-L)
- OpenAlex
- W2118404561
- Cited by
- 1,739
- References
- 3
- FWCI
- 37.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Internet Topology Zoo. https://app.cochat.ai/papers/10.1109/jsac.2011.111002
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- Knight, S., Nguyen, H. X., Falkner, N., Bowden, R., & Roughan, M. (2011). The Internet Topology Zoo. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/jsac.2011.111002
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