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Cited by 159

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Congestion phenomena on complex networks

Open access
De Martino, Daniele, Dall’Asta, Luca, Bianconi, Ginestra, Marsili, Matteo·2009·Physical Review E

Abstract

We define a minimal model of traffic flows in complex networks in order to study the trade-off between topological-based and traffic-based routing strategies. The resulting collective behavior is obtained analytically for an ensemble of uncorrelated networks and summarized in a rich phase diagram presenting second-order as well as first-order phase transitions between a free-flow phase and a congested phase. We find that traffic control improves global performance, enlarging the free-flow region in parameter space only in heterogeneous networks. Traffic control introduces nonlinear effects and, beyond a critical strength, may trigger the appearance of a congested phase in a discontinuous manner. The model also reproduces the crossover in the scaling of traffic fluctuations empirically observed on the Internet.

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Metadata

Authors
De Martino, D., Dall’Asta, L., Bianconi, G., & Marsili, M.
Venue
Physical Review E
Published
2009-01-15
Volume
79
Issue
1
Pages
015101-015101
ISSN
  • 1539-3755 (ISSN-L)
  • 1550-2376
OpenAlex
W2033017415
Cited by
159
References
2
FWCI
8.80
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Congestion phenomena on complex networks. https://app.cochat.ai/papers/10.1103/physreve.79.015101
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De Martino, D., Dall’Asta, L., Bianconi, G., & Marsili, M. (2009). Congestion phenomena on complex networks. Physical Review E. https://doi.org/10.1103/physreve.79.015101

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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.