Mercurial > repos > shellac > sam_consensus_v3
view env/lib/python3.9/site-packages/networkx/algorithms/tests/test_structuralholes.py @ 0:4f3585e2f14b draft default tip
"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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"""Unit tests for the :mod:`networkx.algorithms.structuralholes` module.""" import math import networkx as nx from networkx.testing import almost_equal class TestStructuralHoles: """Unit tests for computing measures of structural holes. The expected values for these functions were originally computed using the proprietary software `UCINET`_ and the free software `IGraph`_ , and then computed by hand to make sure that the results are correct. .. _UCINET: https://sites.google.com/site/ucinetsoftware/home .. _IGraph: http://igraph.org/ """ def setup(self): self.D = nx.DiGraph() self.D.add_edges_from([(0, 1), (0, 2), (1, 0), (2, 1)]) self.D_weights = {(0, 1): 2, (0, 2): 2, (1, 0): 1, (2, 1): 1} # Example from http://www.analytictech.com/connections/v20(1)/holes.htm self.G = nx.Graph() self.G.add_edges_from( [ ("A", "B"), ("A", "F"), ("A", "G"), ("A", "E"), ("E", "G"), ("F", "G"), ("B", "G"), ("B", "D"), ("D", "G"), ("G", "C"), ] ) self.G_weights = { ("A", "B"): 2, ("A", "F"): 3, ("A", "G"): 5, ("A", "E"): 2, ("E", "G"): 8, ("F", "G"): 3, ("B", "G"): 4, ("B", "D"): 1, ("D", "G"): 3, ("G", "C"): 10, } def test_constraint_directed(self): constraint = nx.constraint(self.D) assert almost_equal(constraint[0], 1.003, places=3) assert almost_equal(constraint[1], 1.003, places=3) assert almost_equal(constraint[2], 1.389, places=3) def test_effective_size_directed(self): effective_size = nx.effective_size(self.D) assert almost_equal(effective_size[0], 1.167, places=3) assert almost_equal(effective_size[1], 1.167, places=3) assert almost_equal(effective_size[2], 1, places=3) def test_constraint_weighted_directed(self): D = self.D.copy() nx.set_edge_attributes(D, self.D_weights, "weight") constraint = nx.constraint(D, weight="weight") assert almost_equal(constraint[0], 0.840, places=3) assert almost_equal(constraint[1], 1.143, places=3) assert almost_equal(constraint[2], 1.378, places=3) def test_effective_size_weighted_directed(self): D = self.D.copy() nx.set_edge_attributes(D, self.D_weights, "weight") effective_size = nx.effective_size(D, weight="weight") assert almost_equal(effective_size[0], 1.567, places=3) assert almost_equal(effective_size[1], 1.083, places=3) assert almost_equal(effective_size[2], 1, places=3) def test_constraint_undirected(self): constraint = nx.constraint(self.G) assert almost_equal(constraint["G"], 0.400, places=3) assert almost_equal(constraint["A"], 0.595, places=3) assert almost_equal(constraint["C"], 1, places=3) def test_effective_size_undirected_borgatti(self): effective_size = nx.effective_size(self.G) assert almost_equal(effective_size["G"], 4.67, places=2) assert almost_equal(effective_size["A"], 2.50, places=2) assert almost_equal(effective_size["C"], 1, places=2) def test_effective_size_undirected(self): G = self.G.copy() nx.set_edge_attributes(G, 1, "weight") effective_size = nx.effective_size(G, weight="weight") assert almost_equal(effective_size["G"], 4.67, places=2) assert almost_equal(effective_size["A"], 2.50, places=2) assert almost_equal(effective_size["C"], 1, places=2) def test_constraint_weighted_undirected(self): G = self.G.copy() nx.set_edge_attributes(G, self.G_weights, "weight") constraint = nx.constraint(G, weight="weight") assert almost_equal(constraint["G"], 0.299, places=3) assert almost_equal(constraint["A"], 0.795, places=3) assert almost_equal(constraint["C"], 1, places=3) def test_effective_size_weighted_undirected(self): G = self.G.copy() nx.set_edge_attributes(G, self.G_weights, "weight") effective_size = nx.effective_size(G, weight="weight") assert almost_equal(effective_size["G"], 5.47, places=2) assert almost_equal(effective_size["A"], 2.47, places=2) assert almost_equal(effective_size["C"], 1, places=2) def test_constraint_isolated(self): G = self.G.copy() G.add_node(1) constraint = nx.constraint(G) assert math.isnan(constraint[1]) def test_effective_size_isolated(self): G = self.G.copy() G.add_node(1) nx.set_edge_attributes(G, self.G_weights, "weight") effective_size = nx.effective_size(G, weight="weight") assert math.isnan(effective_size[1]) def test_effective_size_borgatti_isolated(self): G = self.G.copy() G.add_node(1) effective_size = nx.effective_size(G) assert math.isnan(effective_size[1])