air: Flights between the 500 busiest commercial airports in the US
In galanisl/NetHypGeom: Hyperbolic geometry of complex networks

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.

air

An igraph object representing the airport network and a numeric value with its inferred temperature.

Tore Opsahl's website

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)

# 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)