def test_degree_centrality(self):
d = nx.bipartite_degree_centrality(self.P4, [1, 3])
answer = {0: 0.5, 1: 1.0, 2: 1.0, 3: 0.5}
assert_equal(d, answer)
d = nx.bipartite_degree_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(d, answer)
d = nx.bipartite_degree_centrality(self.C4, [0, 2])
answer = {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0}
assert_equal(d, answer)
def test_degree_centrality(self):
d = nx.bipartite_degree_centrality(self.P4, [1,3])
answer = {0: 0.5, 1: 1.0, 2: 1.0, 3: 0.5}
assert_equal(d, answer)
d = nx.bipartite_degree_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(d, answer)
d = nx.bipartite_degree_centrality(self.C4, [0,2])
answer = {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0}
assert_equal(d,answer)
def test_davis_degree_centrality(self):
G = self.davis
deg = nx.bipartite_degree_centrality(G, self.top_nodes)
answer = {
'E8': 0.78,
'E9': 0.67,
'E7': 0.56,
'Nora Fayette': 0.57,
'Evelyn Jefferson': 0.57,
'Theresa Anderson': 0.57,
'E6': 0.44,
'Sylvia Avondale': 0.50,
'Laura Mandeville': 0.50,
'Brenda Rogers': 0.50,
'Katherina Rogers': 0.43,
'E5': 0.44,
'Helen Lloyd': 0.36,
'E3': 0.33,
'Ruth DeSand': 0.29,
'Verne Sanderson': 0.29,
'E12': 0.33,
'Myra Liddel': 0.29,
'E11': 0.22,
'Eleanor Nye': 0.29,
'Frances Anderson': 0.29,
'Pearl Oglethorpe': 0.21,
'E4': 0.22,
'Charlotte McDowd': 0.29,
'E10': 0.28,
'Olivia Carleton': 0.14,
'Flora Price': 0.14,
'E2': 0.17,
'E1': 0.17,
'Dorothy Murchison': 0.14,
'E13': 0.17,
'E14': 0.17
}
for node, value in answer.items():
assert_almost_equal(value, deg[node], places=2)
def test_davis_degree_centrality(self):
G = self.davis
deg = nx.bipartite_degree_centrality(G, self.top_nodes)
answer = {'E8':0.78,
'E9':0.67,
'E7':0.56,
'Nora Fayette':0.57,
'Evelyn Jefferson':0.57,
'Theresa Anderson':0.57,
'E6':0.44,
'Sylvia Avondale':0.50,
'Laura Mandeville':0.50,
'Brenda Rogers':0.50,
'Katherina Rogers':0.43,
'E5':0.44,
'Helen Lloyd':0.36,
'E3':0.33,
'Ruth DeSand':0.29,
'Verne Sanderson':0.29,
'E12':0.33,
'Myra Liddel':0.29,
'E11':0.22,
'Eleanor Nye':0.29,
'Frances Anderson':0.29,
'Pearl Oglethorpe':0.21,
'E4':0.22,
'Charlotte McDowd':0.29,
'E10':0.28,
'Olivia Carleton':0.14,
'Flora Price':0.14,
'E2':0.17,
'E1':0.17,
'Dorothy Murchison':0.14,
'E13':0.17,
'E14':0.17}
for node, value in answer.items():
assert_almost_equal(value, deg[node], places=2)
