def test_smallworldness():
"""
Test small-world coefficient (omega) computation
"""
base_dir = str(Path(__file__).parent/"examples")
est_path = f"{base_dir}/miscellaneous/sub-0021001_rsn-Default_nodetype-parc_model-sps_template-MNI152_T1_thrtype-DENS_thr-0.19.npy"
in_mat = np.load(est_path)
G = nx.from_numpy_array(in_mat)
sigma = netstats.smallworldness(G, niter=5, nrand=5, approach='clustering', reference='random')
# A network is smallworld if sigma > 1
assert sigma > 1
def test_smallworldness():
"""
Test small-world coefficient (omega) computation
"""
base_dir = str(Path(__file__).parent / "examples")
est_path = f"{base_dir}/miscellaneous/0021001_rsn-Default_nodetype-parc_est-sps_thrtype-DENS_thr-0.19.npy"
in_mat = np.load(est_path)
G = nx.from_numpy_array(in_mat)
omega = netstats.smallworldness(G, niter=5, nrand=5)
# A network is smallworld if omega > 1
assert omega > 1