import pytest pytest.importorskip("scipy") import networkx as nx from networkx.algorithms.bipartite import spectral_bipartivity as sb # Examples from Figure 1 # E. Estrada and J. A. Rodríguez-Velázquez, "Spectral measures of # bipartivity in complex networks", PhysRev E 72, 046105 (2005) class TestSpectralBipartivity: def test_star_like(self): # star-like G = nx.star_graph(2) G.add_edge(1, 2) assert sb(G) == pytest.approx(0.843, abs=1e-3) G = nx.star_graph(3) G.add_edge(1, 2) assert sb(G) == pytest.approx(0.871, abs=1e-3) G = nx.star_graph(4) G.add_edge(1, 2) assert sb(G) == pytest.approx(0.890, abs=1e-3) def test_k23_like(self): # K2,3-like G = nx.complete_bipartite_graph(2, 3) G.add_edge(0, 1) assert sb(G) == pytest.approx(0.769, abs=1e-3) G = nx.complete_bipartite_graph(2, 3) G.add_edge(2, 4) assert sb(G) == pytest.approx(0.829, abs=1e-3) G = nx.complete_bipartite_graph(2, 3) G.add_edge(2, 4) G.add_edge(3, 4) assert sb(G) == pytest.approx(0.731, abs=1e-3) G = nx.complete_bipartite_graph(2, 3) G.add_edge(0, 1) G.add_edge(2, 4) assert sb(G) == pytest.approx(0.692, abs=1e-3) G = nx.complete_bipartite_graph(2, 3) G.add_edge(2, 4) G.add_edge(3, 4) G.add_edge(0, 1) assert sb(G) == pytest.approx(0.645, abs=1e-3) G = nx.complete_bipartite_graph(2, 3) G.add_edge(2, 4) G.add_edge(3, 4) G.add_edge(2, 3) assert sb(G) == pytest.approx(0.645, abs=1e-3) G = nx.complete_bipartite_graph(2, 3) G.add_edge(2, 4) G.add_edge(3, 4) G.add_edge(2, 3) G.add_edge(0, 1) assert sb(G) == pytest.approx(0.597, abs=1e-3) def test_single_nodes(self): # single nodes G = nx.complete_bipartite_graph(2, 3) G.add_edge(2, 4) sbn = sb(G, nodes=[1, 2]) assert sbn[1] == pytest.approx(0.85, abs=1e-2) assert sbn[2] == pytest.approx(0.77, abs=1e-2) G = nx.complete_bipartite_graph(2, 3) G.add_edge(0, 1) sbn = sb(G, nodes=[1, 2]) assert sbn[1] == pytest.approx(0.73, abs=1e-2) assert sbn[2] == pytest.approx(0.82, abs=1e-2)