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Cited by 213

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Modularity and Extreme Edges of the Internet

Open access
Eriksen, Kasper Astrup, Simonsen, Ingve, Maslov, Sergei, Sneppen, Kim·2003·Physical Review Letters

Abstract

We study the spectral properties of a diffusion process taking place on the Internet network focusing on the slowest decaying modes. These modes identify an underlying modular structure roughly corresponding to individual countries. For instance, in the slowest decaying mode the diffusion current flows from Russia to U.S. military sites. Quantitatively the modular structure manifests itself in a 10 times larger participation ratio of its slow decaying modes compared to a random scale-free network. We propose to use the fraction of nodes participating in slow decaying modes as a general measure of the modularity of a network. For the 100 slowest decaying modes of the Internet this fraction is approximately 30%. Finally, we suggest that the degree of isolation of an individual module can be assessed by comparing its participation in different diffusion modes.

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Metadata

Authors
Eriksen, K. A., Simonsen, I., Maslov, S., & Sneppen, K.
Venue
Physical Review Letters
Published
2003-04-11
Volume
90
Issue
14
Pages
148701-148701
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W1991098816
Cited by
213
References
3
FWCI
7.22
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Modularity and Extreme Edges of the Internet. https://app.cochat.ai/papers/10.1103/physrevlett.90.148701
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Eriksen, K. A., Simonsen, I., Maslov, S., & Sneppen, K. (2003). Modularity and Extreme Edges of the Internet. Physical Review Letters. https://doi.org/10.1103/physrevlett.90.148701

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.