def test_closeness_centrality(self):
c = nx.bipartite_closeness_centrality(self.P4, [1, 3])
answer = {0: 2.0 / 3, 1: 1.0, 2: 1.0, 3: 2.0 / 3}
assert_equal(c, answer)
c = nx.bipartite_closeness_centrality(self.K3, [0, 1, 2])
answer = {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0, 4: 1.0, 5: 1.0}
assert_equal(c, answer)
c = nx.bipartite_closeness_centrality(self.C4, [0, 2])
answer = {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0}
assert_equal(c, answer)
def test_closeness_centrality(self):
c = nx.bipartite_closeness_centrality(self.P4, [1,3])
answer = {0: 2.0/3, 1: 1.0, 2: 1.0, 3:2.0/3}
assert_equal(c, answer)
c = nx.bipartite_closeness_centrality(self.K3, [0,1,2])
answer = {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0, 4: 1.0, 5: 1.0}
assert_equal(c, answer)
c = nx.bipartite_closeness_centrality(self.C4, [0,2])
answer = {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0}
assert_equal(c, answer)
def test_davis_closeness_centrality(self):
G = self.davis
clos = nx.bipartite_closeness_centrality(G, self.top_nodes)
answer = {
'E8': 0.85,
'E9': 0.79,
'E7': 0.73,
'Nora Fayette': 0.80,
'Evelyn Jefferson': 0.80,
'Theresa Anderson': 0.80,
'E6': 0.69,
'Sylvia Avondale': 0.77,
'Laura Mandeville': 0.73,
'Brenda Rogers': 0.73,
'Katherina Rogers': 0.73,
'E5': 0.59,
'Helen Lloyd': 0.73,
'E3': 0.56,
'Ruth DeSand': 0.71,
'Verne Sanderson': 0.71,
'E12': 0.56,
'Myra Liddel': 0.69,
'E11': 0.54,
'Eleanor Nye': 0.67,
'Frances Anderson': 0.67,
'Pearl Oglethorpe': 0.67,
'E4': 0.54,
'Charlotte McDowd': 0.60,
'E10': 0.55,
'Olivia Carleton': 0.59,
'Flora Price': 0.59,
'E2': 0.52,
'E1': 0.52,
'Dorothy Murchison': 0.65,
'E13': 0.52,
'E14': 0.52
}
for node, value in answer.items():
assert_almost_equal(value, clos[node], places=2)
def test_davis_closeness_centrality(self):
G = self.davis
clos = nx.bipartite_closeness_centrality(G, self.top_nodes)
answer = {'E8':0.85,
'E9':0.79,
'E7':0.73,
'Nora Fayette':0.80,
'Evelyn Jefferson':0.80,
'Theresa Anderson':0.80,
'E6':0.69,
'Sylvia Avondale':0.77,
'Laura Mandeville':0.73,
'Brenda Rogers':0.73,
'Katherina Rogers':0.73,
'E5':0.59,
'Helen Lloyd':0.73,
'E3':0.56,
'Ruth DeSand':0.71,
'Verne Sanderson':0.71,
'E12':0.56,
'Myra Liddel':0.69,
'E11':0.54,
'Eleanor Nye':0.67,
'Frances Anderson':0.67,
'Pearl Oglethorpe':0.67,
'E4':0.54,
'Charlotte McDowd':0.60,
'E10':0.55,
'Olivia Carleton':0.59,
'Flora Price':0.59,
'E2':0.52,
'E1':0.52,
'Dorothy Murchison':0.65,
'E13':0.52,
'E14':0.52}
for node, value in answer.items():
assert_almost_equal(value, clos[node], places=2)
