Description Usage Format Source References Examples
The airport network corresponds to the connections between the 500 busiest commercial airports in the United States. Two airports are linked if there was a flight scheduled between them in 2002. The network's scaling exponent and inferred temperature are 2.01 and 0.15, respectively.
1 |
An igraph
object representing the airport network and a numeric value with its inferred temperature.
Colizza V, Pastor-Satorras R, Vespignani A (2007) Reaction-diffusion processes and metapopulation models in heterogeneous networks. Nature Physics 3:276-282. doi:10.1038/nphys560
Alanis-Lobato, G., Mier, P. & Andrade-Navarro, M. (2016) Manifold learning and maximum likelihood estimation for hyperbolic network embedding. Applied Network Science 1(10)
1 2 3 4 5 6 | # Map the airport network to hyperbolic space using LaBNE+HM
coords <- labne_hm(net = air, gma = 2.01, Temp = 0.15, w = pi/12)
# Visually explore the resulting hyperbolic mapping
plot_hyperbolic_net(network = air, nodes = coords$polar,
node.colour = coords$polar$theta)
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