def test_K4(self):
"""Betweenness centrality: K4"""
G=networkx.complete_graph(4)
b=edge_current_flow_subset(G,list(G),list(G),normalized=False)
b_answer=edge_current_flow(G,normalized=False)
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
# test weighted network
G.add_edge(0,1,{'weight':0.5,'other':0.3})
b=edge_current_flow_subset(G,list(G),list(G),normalized=False,weight=None)
# weight is None => same as unweighted network
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
b=edge_current_flow_subset(G,list(G),list(G),normalized=False)
b_answer=edge_current_flow(G,normalized=False)
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
b=edge_current_flow_subset(G,list(G),list(G),normalized=False,weight='other')
b_answer=edge_current_flow(G,normalized=False,weight='other')
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
def test_K4(self):
"""Betweenness centrality: K4"""
G = nx.complete_graph(4)
b = edge_current_flow_subset(G, list(G), list(G), normalized=False)
b_answer = edge_current_flow(G, normalized=False)
for (s, t), v1 in b_answer.items():
v2 = b.get((s, t), b.get((t, s)))
assert almost_equal(v1, v2)
# test weighted network
G.add_edge(0, 1, weight=0.5, other=0.3)
b = edge_current_flow_subset(G,
list(G),
list(G),
normalized=False,
weight=None)
# weight is None => same as unweighted network
for (s, t), v1 in b_answer.items():
v2 = b.get((s, t), b.get((t, s)))
assert almost_equal(v1, v2)
b = edge_current_flow_subset(G, list(G), list(G), normalized=False)
b_answer = edge_current_flow(G, normalized=False)
for (s, t), v1 in b_answer.items():
v2 = b.get((s, t), b.get((t, s)))
assert almost_equal(v1, v2)
b = edge_current_flow_subset(G,
list(G),
list(G),
normalized=False,
weight="other")
b_answer = edge_current_flow(G, normalized=False, weight="other")
for (s, t), v1 in b_answer.items():
v2 = b.get((s, t), b.get((t, s)))
assert almost_equal(v1, v2)
def test_K4(self):
"""Betweenness centrality: K4"""
G=networkx.complete_graph(4)
b=edge_current_flow_subset(G,G.nodes(),G.nodes(),normalized=False)
b_answer=edge_current_flow(G,normalized=False)
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
# test weighted network
G.add_edge(0,1,{'weight':0.5,'other':0.3})
b=edge_current_flow_subset(G,G.nodes(),G.nodes(),normalized=False,weight=None)
# weight is None => same as unweighted network
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
b=edge_current_flow_subset(G,G.nodes(),G.nodes(),normalized=False)
b_answer=edge_current_flow(G,normalized=False)
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
b=edge_current_flow_subset(G,G.nodes(),G.nodes(),normalized=False,weight='other')
b_answer=edge_current_flow(G,normalized=False,weight='other')
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
def test_K4_normalized(self):
"""Betweenness centrality: K4"""
G = networkx.complete_graph(4)
b = edge_current_flow_subset(G, G.nodes(), G.nodes(), normalized=True)
b_answer = edge_current_flow(G, normalized=True)
for n in sorted(G.edges()):
assert_almost_equal(b[n], b_answer[n])
def test_K4_normalized(self):
"""Betweenness centrality: K4"""
G=networkx.complete_graph(4)
b=edge_current_flow(G,normalized=False)
b_answer=dict.fromkeys(G.edges(),0.75)
for n in sorted(G.edges()):
assert_almost_equal(b[n],b_answer[n])
def test_C4(self):
"""Edge betweenness centrality: C4"""
G=networkx.cycle_graph(4)
b=edge_current_flow(G,normalized=False)
b_answer={(0, 1):1.25,(0, 3):1.25, (1, 2):1.25, (2, 3): 1.25}
for n in sorted(G.edges()):
assert_almost_equal(b[n],b_answer[n])
def test_K4_normalized(self):
"""Betweenness centrality: K4"""
G=networkx.complete_graph(4)
b=edge_current_flow_subset(G,G.nodes(),G.nodes(),normalized=True)
b_answer=edge_current_flow(G,normalized=True)
for n in sorted(G.edges()):
assert_almost_equal(b[n],b_answer[n])
def test_K4_normalized(self):
"""Betweenness centrality: K4"""
G = networkx.complete_graph(4)
b = edge_current_flow(G, normalized=False)
b_answer = dict.fromkeys(G.edges(), 0.75)
for n in sorted(G.edges()):
assert_almost_equal(b[n], b_answer[n])
def test_P4(self):
"""Edge betweenness centrality: P4"""
G = networkx.path_graph(4)
b = edge_current_flow(G, normalized=False)
b_answer = {(0, 1): 1.5, (1, 2): 2.0, (2, 3): 1.5}
for n in sorted(G.edges()):
assert_almost_equal(b[n], b_answer[n])
def test_K4_normalized(self):
"""Betweenness centrality: K4"""
G=networkx.complete_graph(4)
b=edge_current_flow_subset(G,list(G),list(G),normalized=True)
b_answer=edge_current_flow(G,normalized=True)
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
def test_P4(self):
"""Edge betweenness centrality: P4"""
G = nx.path_graph(4)
b = edge_current_flow(G, normalized=False)
b_answer = {(0, 1): 1.5, (1, 2): 2.0, (2, 3): 1.5}
for (s, t), v1 in b_answer.items():
v2 = b.get((s, t), b.get((t, s)))
assert almost_equal(v1, v2)
def test_K4_normalized(self):
"""Edge flow betweenness centrality: K4"""
G = nx.complete_graph(4)
b = edge_current_flow(G, normalized=False)
b_answer = dict.fromkeys(G.edges(), 0.75)
for (s, t), v1 in b_answer.items():
v2 = b.get((s, t), b.get((t, s)))
assert almost_equal(v1, v2)
def test_K4_normalized(self):
"""Betweenness centrality: K4"""
G=nx.complete_graph(4)
b=edge_current_flow_subset(G,list(G),list(G),normalized=True)
b_answer=edge_current_flow(G,normalized=True)
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
def test_P4(self):
"""Edge betweenness centrality: P4"""
G=nx.path_graph(4)
b=edge_current_flow(G,normalized=False)
b_answer={(0, 1):1.5,(1, 2):2.0, (2, 3):1.5}
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
def test_K4_normalized(self):
"""Edge flow betweenness centrality: K4"""
G=nx.complete_graph(4)
b=edge_current_flow(G,normalized=False)
b_answer=dict.fromkeys(G.edges(),0.75)
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
def test_K4(self):
"""Edge flow betweenness centrality: K4"""
G = nx.complete_graph(4)
b = edge_current_flow(G, normalized=True)
b_answer = dict.fromkeys(G.edges(), 0.25)
for (s, t), v1 in b_answer.items():
v2 = b.get((s, t), b.get((t, s)))
assert v1 == pytest.approx(v2, abs=1e-7)
def test_C4(self):
"""Edge flow betweenness centrality: C4"""
G = nx.cycle_graph(4)
b = edge_current_flow(G, normalized=False)
b_answer = {(0, 1): 1.25, (0, 3): 1.25, (1, 2): 1.25, (2, 3): 1.25}
for (s, t), v1 in b_answer.items():
v2 = b.get((s, t), b.get((t, s)))
assert v1 == pytest.approx(v2, abs=1e-7)
def test_P4(self):
"""Edge betweenness centrality: P4"""
G = nx.path_graph(4)
b = edge_current_flow_subset(G, list(G), list(G), normalized=True)
b_answer = edge_current_flow(G, normalized=True)
for (s, t), v1 in b_answer.items():
v2 = b.get((s, t), b.get((t, s)))
assert v1 == pytest.approx(v2, abs=1e-7)
def test_C4(self):
"""Edge flow betweenness centrality: C4"""
G=networkx.cycle_graph(4)
b=edge_current_flow(G,normalized=False)
b_answer={(0, 1):1.25,(0, 3):1.25, (1, 2):1.25, (2, 3): 1.25}
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
def test_P4(self):
"""Edge betweenness centrality: P4"""
G=networkx.path_graph(4)
b=edge_current_flow_subset(G, list(G), list(G), normalized=True)
b_answer=edge_current_flow(G,normalized=True)
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
def test_C4(self):
"""Edge flow betweenness centrality: C4"""
G = networkx.cycle_graph(4)
b = edge_current_flow(G, normalized=False)
b_answer = {(0, 1): 1.25, (0, 3): 1.25, (1, 2): 1.25, (2, 3): 1.25}
for (s, t), v1 in b_answer.items():
v2 = b.get((s, t), b.get((t, s)))
assert_almost_equal(v1, v2)
def test_P4(self):
"""Edge betweenness centrality: P4"""
G = nx.path_graph(4)
b = edge_current_flow_subset(G, list(G), list(G), normalized=True)
b_answer = edge_current_flow(G, normalized=True)
for (s, t), v1 in b_answer.items():
v2 = b.get((s, t), b.get((t, s)))
assert almost_equal(v1, v2)
def test_C4(self):
"""Edge betweenness centrality: C4"""
G=networkx.cycle_graph(4)
b=edge_current_flow_subset(G,G.nodes(),G.nodes(),normalized=True)
b_answer=edge_current_flow(G,normalized=True)
for (s,t),v1 in b_answer.items():
v2=b.get((s,t),b.get((t,s)))
assert_almost_equal(v1,v2)
def test_K4(self):
"""Betweenness centrality: K4"""
G=networkx.complete_graph(4)
b=edge_current_flow_subset(G,G.nodes(),G.nodes(),normalized=False)
b_answer=edge_current_flow(G,normalized=False)
for n in sorted(G.edges()):
assert_almost_equal(b[n],b_answer[n])
# test weighted network
G.add_edge(0,1,{'weight':0.5,'other':0.3})
b=edge_current_flow_subset(G,G.nodes(),G.nodes(),normalized=False,weight=None)
# weight is None => same as unweighted network
for n in sorted(G.edges()):
assert_almost_equal(b[n],b_answer[n])
b=edge_current_flow_subset(G,G.nodes(),G.nodes(),normalized=False)
b_answer=edge_current_flow(G,normalized=False)
for n in sorted(G.edges()):
assert_almost_equal(b[n],b_answer[n])
b=edge_current_flow_subset(G,G.nodes(),G.nodes(),normalized=False,weight='other')
b_answer=edge_current_flow(G,normalized=False,weight='other')
for n in sorted(G.edges()):
assert_almost_equal(b[n],b_answer[n])
