blob: 52a93b29060043fcab2e0eb8408ef62b0da5c643 [file] [log] [blame]
#!/usr/bin/env python
from nose.tools import *
import networkx as nx
from networkx.algorithms import bipartite
from networkx.testing import *
class TestBipartiteProject:
def test_path_projected_graph(self):
G=nx.path_graph(4)
P=bipartite.projected_graph(G,[1,3])
assert_equal(sorted(P.nodes()),[1,3])
assert_equal(sorted(P.edges()),[(1,3)])
P=bipartite.projected_graph(G,[0,2])
assert_equal(sorted(P.nodes()),[0,2])
assert_equal(sorted(P.edges()),[(0,2)])
def test_path_projected_properties_graph(self):
G=nx.path_graph(4)
G.add_node(1,name='one')
G.add_node(2,name='two')
P=bipartite.projected_graph(G,[1,3])
assert_equal(sorted(P.nodes()),[1,3])
assert_equal(sorted(P.edges()),[(1,3)])
assert_equal(P.node[1]['name'],G.node[1]['name'])
P=bipartite.projected_graph(G,[0,2])
assert_equal(sorted(P.nodes()),[0,2])
assert_equal(sorted(P.edges()),[(0,2)])
assert_equal(P.node[2]['name'],G.node[2]['name'])
def test_path_collaboration_projected_graph(self):
G=nx.path_graph(4)
P=bipartite.collaboration_weighted_projected_graph(G,[1,3])
assert_equal(sorted(P.nodes()),[1,3])
assert_equal(sorted(P.edges()),[(1,3)])
P[1][3]['weight']=1
P=bipartite.collaboration_weighted_projected_graph(G,[0,2])
assert_equal(sorted(P.nodes()),[0,2])
assert_equal(sorted(P.edges()),[(0,2)])
P[0][2]['weight']=1
def test_directed_path_collaboration_projected_graph(self):
G=nx.DiGraph()
G.add_path(list(range(4)))
P=bipartite.collaboration_weighted_projected_graph(G,[1,3])
assert_equal(sorted(P.nodes()),[1,3])
assert_equal(sorted(P.edges()),[(1,3)])
P[1][3]['weight']=1
P=bipartite.collaboration_weighted_projected_graph(G,[0,2])
assert_equal(sorted(P.nodes()),[0,2])
assert_equal(sorted(P.edges()),[(0,2)])
P[0][2]['weight']=1
def test_path_weighted_projected_graph(self):
G=nx.path_graph(4)
P=bipartite.weighted_projected_graph(G,[1,3])
assert_equal(sorted(P.nodes()),[1,3])
assert_equal(sorted(P.edges()),[(1,3)])
P[1][3]['weight']=1
P=bipartite.weighted_projected_graph(G,[0,2])
assert_equal(sorted(P.nodes()),[0,2])
assert_equal(sorted(P.edges()),[(0,2)])
P[0][2]['weight']=1
def test_path_weighted_projected_directed_graph(self):
G=nx.DiGraph()
G.add_path(list(range(4)))
P=bipartite.weighted_projected_graph(G,[1,3])
assert_equal(sorted(P.nodes()),[1,3])
assert_equal(sorted(P.edges()),[(1,3)])
P[1][3]['weight']=1
P=bipartite.weighted_projected_graph(G,[0,2])
assert_equal(sorted(P.nodes()),[0,2])
assert_equal(sorted(P.edges()),[(0,2)])
P[0][2]['weight']=1
def test_star_projected_graph(self):
G=nx.star_graph(3)
P=bipartite.projected_graph(G,[1,2,3])
assert_equal(sorted(P.nodes()),[1,2,3])
assert_equal(sorted(P.edges()),[(1,2),(1,3),(2,3)])
P=bipartite.weighted_projected_graph(G,[1,2,3])
assert_equal(sorted(P.nodes()),[1,2,3])
assert_equal(sorted(P.edges()),[(1,2),(1,3),(2,3)])
P=bipartite.projected_graph(G,[0])
assert_equal(sorted(P.nodes()),[0])
assert_equal(sorted(P.edges()),[])
def test_project_multigraph(self):
G=nx.Graph()
G.add_edge('a',1)
G.add_edge('b',1)
G.add_edge('a',2)
G.add_edge('b',2)
P=bipartite.projected_graph(G,'ab')
assert_edges_equal(P.edges(),[('a','b')])
P=bipartite.weighted_projected_graph(G,'ab')
assert_edges_equal(P.edges(),[('a','b')])
P=bipartite.projected_graph(G,'ab',multigraph=True)
assert_edges_equal(P.edges(),[('a','b'),('a','b')])
def test_project_collaboration(self):
G=nx.Graph()
G.add_edge('a',1)
G.add_edge('b',1)
G.add_edge('b',2)
G.add_edge('c',2)
G.add_edge('c',3)
G.add_edge('c',4)
G.add_edge('b',4)
P=bipartite.collaboration_weighted_projected_graph(G,'abc')
assert_equal(P['a']['b']['weight'],1)
assert_equal(P['b']['c']['weight'],2)
def test_directed_projection(self):
G=nx.DiGraph()
G.add_edge('A',1)
G.add_edge(1,'B')
G.add_edge('A',2)
G.add_edge('B',2)
P=bipartite.projected_graph(G,'AB')
assert_equal(sorted(P.edges()),[('A','B')])
P=bipartite.weighted_projected_graph(G,'AB')
assert_equal(sorted(P.edges()),[('A','B')])
assert_equal(P['A']['B']['weight'],1)
P=bipartite.projected_graph(G,'AB',multigraph=True)
assert_equal(sorted(P.edges()),[('A','B')])
G=nx.DiGraph()
G.add_edge('A',1)
G.add_edge(1,'B')
G.add_edge('A',2)
G.add_edge(2,'B')
P=bipartite.projected_graph(G,'AB')
assert_equal(sorted(P.edges()),[('A','B')])
P=bipartite.weighted_projected_graph(G,'AB')
assert_equal(sorted(P.edges()),[('A','B')])
assert_equal(P['A']['B']['weight'],2)
P=bipartite.projected_graph(G,'AB',multigraph=True)
assert_equal(sorted(P.edges()),[('A','B'),('A','B')])
class TestBipartiteWeightedProjection:
def setUp(self):
# Tore Opsahl's example
# http://toreopsahl.com/2009/05/01/projecting-two-mode-networks-onto-weighted-one-mode-networks/
self.G=nx.Graph()
self.G.add_edge('A',1)
self.G.add_edge('A',2)
self.G.add_edge('B',1)
self.G.add_edge('B',2)
self.G.add_edge('B',3)
self.G.add_edge('B',4)
self.G.add_edge('B',5)
self.G.add_edge('C',1)
self.G.add_edge('D',3)
self.G.add_edge('E',4)
self.G.add_edge('E',5)
self.G.add_edge('E',6)
self.G.add_edge('F',6)
# Graph based on figure 6 from Newman (2001)
self.N=nx.Graph()
self.N.add_edge('A',1)
self.N.add_edge('A',2)
self.N.add_edge('A',3)
self.N.add_edge('B',1)
self.N.add_edge('B',2)
self.N.add_edge('B',3)
self.N.add_edge('C',1)
self.N.add_edge('D',1)
self.N.add_edge('E',3)
def test_project_weighted_shared(self):
edges=[('A','B',2),
('A','C',1),
('B','C',1),
('B','D',1),
('B','E',2),
('E','F',1)]
Panswer=nx.Graph()
Panswer.add_weighted_edges_from(edges)
P=bipartite.weighted_projected_graph(self.G,'ABCDEF')
assert_equal(P.edges(),Panswer.edges())
for u,v in P.edges():
assert_equal(P[u][v]['weight'],Panswer[u][v]['weight'])
edges=[('A','B',3),
('A','E',1),
('A','C',1),
('A','D',1),
('B','E',1),
('B','C',1),
('B','D',1),
('C','D',1)]
Panswer=nx.Graph()
Panswer.add_weighted_edges_from(edges)
P=bipartite.weighted_projected_graph(self.N,'ABCDE')
assert_equal(P.edges(),Panswer.edges())
for u,v in P.edges():
assert_equal(P[u][v]['weight'],Panswer[u][v]['weight'])
def test_project_weighted_newman(self):
edges=[('A','B',1.5),
('A','C',0.5),
('B','C',0.5),
('B','D',1),
('B','E',2),
('E','F',1)]
Panswer=nx.Graph()
Panswer.add_weighted_edges_from(edges)
P=bipartite.collaboration_weighted_projected_graph(self.G,'ABCDEF')
assert_equal(P.edges(),Panswer.edges())
for u,v in P.edges():
assert_equal(P[u][v]['weight'],Panswer[u][v]['weight'])
edges=[('A','B',11/6.0),
('A','E',1/2.0),
('A','C',1/3.0),
('A','D',1/3.0),
('B','E',1/2.0),
('B','C',1/3.0),
('B','D',1/3.0),
('C','D',1/3.0)]
Panswer=nx.Graph()
Panswer.add_weighted_edges_from(edges)
P=bipartite.collaboration_weighted_projected_graph(self.N,'ABCDE')
assert_equal(P.edges(),Panswer.edges())
for u,v in P.edges():
assert_equal(P[u][v]['weight'],Panswer[u][v]['weight'])
def test_project_weighted_ratio(self):
edges=[('A','B',2/6.0),
('A','C',1/6.0),
('B','C',1/6.0),
('B','D',1/6.0),
('B','E',2/6.0),
('E','F',1/6.0)]
Panswer=nx.Graph()
Panswer.add_weighted_edges_from(edges)
P=bipartite.weighted_projected_graph(self.G, 'ABCDEF', ratio=True)
assert_equal(P.edges(),Panswer.edges())
for u,v in P.edges():
assert_equal(P[u][v]['weight'],Panswer[u][v]['weight'])
edges=[('A','B',3/3.0),
('A','E',1/3.0),
('A','C',1/3.0),
('A','D',1/3.0),
('B','E',1/3.0),
('B','C',1/3.0),
('B','D',1/3.0),
('C','D',1/3.0)]
Panswer=nx.Graph()
Panswer.add_weighted_edges_from(edges)
P=bipartite.weighted_projected_graph(self.N, 'ABCDE', ratio=True)
assert_equal(P.edges(),Panswer.edges())
for u,v in P.edges():
assert_equal(P[u][v]['weight'],Panswer[u][v]['weight'])
def test_project_weighted_overlap(self):
edges=[('A','B',2/2.0),
('A','C',1/1.0),
('B','C',1/1.0),
('B','D',1/1.0),
('B','E',2/3.0),
('E','F',1/1.0)]
Panswer=nx.Graph()
Panswer.add_weighted_edges_from(edges)
P=bipartite.overlap_weighted_projected_graph(self.G,'ABCDEF', jaccard=False)
assert_equal(P.edges(),Panswer.edges())
for u,v in P.edges():
assert_equal(P[u][v]['weight'],Panswer[u][v]['weight'])
edges=[('A','B',3/3.0),
('A','E',1/1.0),
('A','C',1/1.0),
('A','D',1/1.0),
('B','E',1/1.0),
('B','C',1/1.0),
('B','D',1/1.0),
('C','D',1/1.0)]
Panswer=nx.Graph()
Panswer.add_weighted_edges_from(edges)
P=bipartite.overlap_weighted_projected_graph(self.N,'ABCDE', jaccard=False)
assert_equal(P.edges(),Panswer.edges())
for u,v in P.edges():
assert_equal(P[u][v]['weight'],Panswer[u][v]['weight'])
def test_project_weighted_jaccard(self):
edges=[('A','B',2/5.0),
('A','C',1/2.0),
('B','C',1/5.0),
('B','D',1/5.0),
('B','E',2/6.0),
('E','F',1/3.0)]
Panswer=nx.Graph()
Panswer.add_weighted_edges_from(edges)
P=bipartite.overlap_weighted_projected_graph(self.G,'ABCDEF')
assert_equal(P.edges(),Panswer.edges())
for u,v in P.edges():
assert_equal(P[u][v]['weight'],Panswer[u][v]['weight'])
edges=[('A','B',3/3.0),
('A','E',1/3.0),
('A','C',1/3.0),
('A','D',1/3.0),
('B','E',1/3.0),
('B','C',1/3.0),
('B','D',1/3.0),
('C','D',1/1.0)]
Panswer=nx.Graph()
Panswer.add_weighted_edges_from(edges)
P=bipartite.overlap_weighted_projected_graph(self.N,'ABCDE')
assert_equal(P.edges(),Panswer.edges())
for u,v in P.edges():
assert_equal(P[u][v]['weight'],Panswer[u][v]['weight'])
def test_generic_weighted_projected_graph_simple(self):
def shared(G, u, v):
return len(set(G[u]) & set(G[v]))
B = nx.path_graph(5)
G = bipartite.generic_weighted_projected_graph(B, [0, 2, 4], weight_function=shared)
assert_equal(sorted(G.nodes()), [0, 2, 4])
assert_equal(G.edges(data=True),
[(0, 2, {'weight': 1}), (2, 4, {'weight': 1})] )
G = bipartite.generic_weighted_projected_graph(B, [0, 2, 4])
assert_equal(sorted(G.nodes()), [0, 2, 4])
assert_equal(G.edges(data=True),
[(0, 2, {'weight': 1}), (2, 4, {'weight': 1})] )
B = nx.DiGraph()
B.add_path(list(range(5)))
G = bipartite.generic_weighted_projected_graph(B, [0, 2, 4])
assert_equal(sorted(G.nodes()), [0, 2, 4])
assert_equal(G.edges(data=True),
[(0, 2, {'weight': 1}), (2, 4, {'weight': 1})] )
def test_generic_weighted_projected_graph_custom(self):
def jaccard(G, u, v):
unbrs = set(G[u])
vnbrs = set(G[v])
return float(len(unbrs & vnbrs)) / len(unbrs | vnbrs)
def my_weight(G, u, v, weight='weight'):
w = 0
for nbr in set(G[u]) & set(G[v]):
w += G.edge[u][nbr].get(weight, 1) + G.edge[v][nbr].get(weight, 1)
return w
B = nx.complete_bipartite_graph(2,2)
for i,(u,v) in enumerate(B.edges()):
B.edge[u][v]['weight'] = i + 1
G = bipartite.generic_weighted_projected_graph(B, [0, 1],
weight_function=jaccard)
assert_equal(G.edges(data=True), [(0, 1, {'weight': 1.0})])
G = bipartite.generic_weighted_projected_graph(B, [0, 1],
weight_function=my_weight)
assert_equal(G.edges(data=True), [(0, 1, {'weight': 10})])
G = bipartite.generic_weighted_projected_graph(B, [0, 1])
assert_equal(G.edges(data=True), [(0, 1, {'weight': 2})])