This is a fork of the girgs package for efficiently generating hyperbolic random graphs and geometric inhomogeneous random graphs. This repository adds the ability to use the C++ library via Python.
Run pip install . in this repository.
from pygirgs import girgs
dimension = 1
wseed = 123
pseed = 456
sseed = 789
n = 10000
avg_deg = 10.0
beta = 2.5
T = 0.5
alpha = 1 / T
weights = girgs.generate_weights(n, beta, wseed, False)
positions = girgs.generate_positions(n, dimension, pseed, False)
scaling = girgs.scale_weights(weights, avg_deg, dimension, alpha)
weights = [scaling * weight for weight in weights]
edges = girgs.generate_edges(weights, positions, alpha, sseed)
for u, v in edges:
# Do something with every edge
pass