Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/algorithms/tests/test_structuralholes.py @ 0:4f3585e2f14b draft default tip
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author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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1 """Unit tests for the :mod:`networkx.algorithms.structuralholes` module.""" |
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2 import math |
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3 import networkx as nx |
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4 from networkx.testing import almost_equal |
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5 |
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6 |
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7 class TestStructuralHoles: |
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8 """Unit tests for computing measures of structural holes. |
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9 |
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10 The expected values for these functions were originally computed using the |
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11 proprietary software `UCINET`_ and the free software `IGraph`_ , and then |
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12 computed by hand to make sure that the results are correct. |
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13 |
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14 .. _UCINET: https://sites.google.com/site/ucinetsoftware/home |
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15 .. _IGraph: http://igraph.org/ |
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16 |
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17 """ |
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18 |
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19 def setup(self): |
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20 self.D = nx.DiGraph() |
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21 self.D.add_edges_from([(0, 1), (0, 2), (1, 0), (2, 1)]) |
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22 self.D_weights = {(0, 1): 2, (0, 2): 2, (1, 0): 1, (2, 1): 1} |
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23 # Example from http://www.analytictech.com/connections/v20(1)/holes.htm |
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24 self.G = nx.Graph() |
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25 self.G.add_edges_from( |
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26 [ |
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27 ("A", "B"), |
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28 ("A", "F"), |
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29 ("A", "G"), |
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30 ("A", "E"), |
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31 ("E", "G"), |
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32 ("F", "G"), |
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33 ("B", "G"), |
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34 ("B", "D"), |
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35 ("D", "G"), |
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36 ("G", "C"), |
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37 ] |
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38 ) |
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39 self.G_weights = { |
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40 ("A", "B"): 2, |
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41 ("A", "F"): 3, |
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42 ("A", "G"): 5, |
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43 ("A", "E"): 2, |
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44 ("E", "G"): 8, |
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45 ("F", "G"): 3, |
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46 ("B", "G"): 4, |
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47 ("B", "D"): 1, |
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48 ("D", "G"): 3, |
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49 ("G", "C"): 10, |
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50 } |
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51 |
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52 def test_constraint_directed(self): |
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53 constraint = nx.constraint(self.D) |
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54 assert almost_equal(constraint[0], 1.003, places=3) |
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55 assert almost_equal(constraint[1], 1.003, places=3) |
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56 assert almost_equal(constraint[2], 1.389, places=3) |
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57 |
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58 def test_effective_size_directed(self): |
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59 effective_size = nx.effective_size(self.D) |
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60 assert almost_equal(effective_size[0], 1.167, places=3) |
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61 assert almost_equal(effective_size[1], 1.167, places=3) |
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62 assert almost_equal(effective_size[2], 1, places=3) |
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63 |
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64 def test_constraint_weighted_directed(self): |
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65 D = self.D.copy() |
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66 nx.set_edge_attributes(D, self.D_weights, "weight") |
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67 constraint = nx.constraint(D, weight="weight") |
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68 assert almost_equal(constraint[0], 0.840, places=3) |
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69 assert almost_equal(constraint[1], 1.143, places=3) |
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70 assert almost_equal(constraint[2], 1.378, places=3) |
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71 |
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72 def test_effective_size_weighted_directed(self): |
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73 D = self.D.copy() |
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74 nx.set_edge_attributes(D, self.D_weights, "weight") |
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75 effective_size = nx.effective_size(D, weight="weight") |
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76 assert almost_equal(effective_size[0], 1.567, places=3) |
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77 assert almost_equal(effective_size[1], 1.083, places=3) |
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78 assert almost_equal(effective_size[2], 1, places=3) |
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79 |
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80 def test_constraint_undirected(self): |
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81 constraint = nx.constraint(self.G) |
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82 assert almost_equal(constraint["G"], 0.400, places=3) |
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83 assert almost_equal(constraint["A"], 0.595, places=3) |
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84 assert almost_equal(constraint["C"], 1, places=3) |
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85 |
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86 def test_effective_size_undirected_borgatti(self): |
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87 effective_size = nx.effective_size(self.G) |
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88 assert almost_equal(effective_size["G"], 4.67, places=2) |
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89 assert almost_equal(effective_size["A"], 2.50, places=2) |
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90 assert almost_equal(effective_size["C"], 1, places=2) |
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91 |
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92 def test_effective_size_undirected(self): |
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93 G = self.G.copy() |
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94 nx.set_edge_attributes(G, 1, "weight") |
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95 effective_size = nx.effective_size(G, weight="weight") |
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96 assert almost_equal(effective_size["G"], 4.67, places=2) |
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97 assert almost_equal(effective_size["A"], 2.50, places=2) |
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98 assert almost_equal(effective_size["C"], 1, places=2) |
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99 |
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100 def test_constraint_weighted_undirected(self): |
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101 G = self.G.copy() |
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102 nx.set_edge_attributes(G, self.G_weights, "weight") |
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103 constraint = nx.constraint(G, weight="weight") |
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104 assert almost_equal(constraint["G"], 0.299, places=3) |
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105 assert almost_equal(constraint["A"], 0.795, places=3) |
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106 assert almost_equal(constraint["C"], 1, places=3) |
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107 |
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108 def test_effective_size_weighted_undirected(self): |
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109 G = self.G.copy() |
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110 nx.set_edge_attributes(G, self.G_weights, "weight") |
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111 effective_size = nx.effective_size(G, weight="weight") |
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112 assert almost_equal(effective_size["G"], 5.47, places=2) |
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113 assert almost_equal(effective_size["A"], 2.47, places=2) |
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114 assert almost_equal(effective_size["C"], 1, places=2) |
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115 |
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116 def test_constraint_isolated(self): |
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117 G = self.G.copy() |
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118 G.add_node(1) |
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119 constraint = nx.constraint(G) |
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120 assert math.isnan(constraint[1]) |
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121 |
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122 def test_effective_size_isolated(self): |
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123 G = self.G.copy() |
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124 G.add_node(1) |
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125 nx.set_edge_attributes(G, self.G_weights, "weight") |
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126 effective_size = nx.effective_size(G, weight="weight") |
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127 assert math.isnan(effective_size[1]) |
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128 |
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129 def test_effective_size_borgatti_isolated(self): |
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130 G = self.G.copy() |
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131 G.add_node(1) |
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132 effective_size = nx.effective_size(G) |
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133 assert math.isnan(effective_size[1]) |