def test_fine_tuned_modularity_density_normalized(self):
community_array = fine_tuned_clustering_qds(self.G, seed=100)
computed_metric = modularity_density(self.adj, community_array,
np.unique(community_array))
assert_equal(round(computed_metric, 4), 0.2313)
def test_constrained_fine_tuned_modularity_density_size2(self):
community_array = \
constrained_fine_tuned_clustering_qds(self.G,
cluster_size=13,
seed=100)
computed_metric = modularity_density(self.adj, community_array,
np.unique(community_array))
assert_equal(round(computed_metric, 4), 0.2230)
def test_fine_tuned_modularity_density_2(self):
community_array = fine_tuned_clustering_qds(self.G,
normalize=False,
evd_method='lobpcg',
seed=2)
computed_metric = modularity_density(self.adj, community_array,
np.unique(community_array))
assert_equal(round(computed_metric, 4), 0.2382)