2011
DOI: 10.1080/15427951.2010.554320
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Euclidean versus Hyperbolic Congestion in Idealized versus Experimental Networks

Abstract: Abstract. This paper proposes a mathematical justification of the phenomenon of extreme congestion at a very limited number of nodes in very large networks. It is argued that this phenomenon occurs as a combination of the negative curvature property of the network together with minimum-length routing. More specifically, it is shown that in a large n-dimensional hyperbolic ball B of radius R viewed as a roughly similar model of a Gromov hyperbolic network, the proportion of traffic paths transiting through a sm… Show more

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Cited by 62 publications
(65 citation statements)
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“…When the network is uniformly distributed in a disk of radius R, the maximum traffic load by shortest path routing occurs in the center [18] and is in the order of Θ(n √ n) [11]. Notice that in fact the maximum traffic load is already asymptotically optimal.…”
Section: Scaling Law In Disks Spheres Half Spheresmentioning
confidence: 99%
See 1 more Smart Citation
“…When the network is uniformly distributed in a disk of radius R, the maximum traffic load by shortest path routing occurs in the center [18] and is in the order of Θ(n √ n) [11]. Notice that in fact the maximum traffic load is already asymptotically optimal.…”
Section: Scaling Law In Disks Spheres Half Spheresmentioning
confidence: 99%
“…In polar coordinates (R, Θ), R for node zij lying on contour γi is justfi, i.e R(zij) =fi, ∀j. Now we will find the angular coordinate for each node of γi by computing a (discrete) integral along γi, which approximates the integral in Equation 11.…”
Section: The Path L Is Mapped To Any Given Radius Of Dmentioning
confidence: 99%
“…Ideas related to hyperbolicity have been applied in numerous other networks applications, e.g., to problems such as distance estimation, sensor networks, and traffic flow and congestion minimization [30,14,15,27,3], as well as large-scale data visualization [22,26,31]. The latter applications typically take important advantage of the idea that data are often hierarchical or tree-like and that there is "more room" in hyperbolic spaces of a given dimension than corresponding Euclidean spaces.…”
Section: Introductionmentioning
confidence: 99%
“…Jonckheere et al [9] examined the negative curvature and load congestion in both artificial data and real networks. They proposed to use Yamabe flow with free boundary condition to alleviate network congestion.…”
Section: Introductionmentioning
confidence: 99%