def merge_graph_by_rank(G, G1, G2, frequency):
#HCC is 0.9, Luc is 0.1 make sure
n1 = G1.number_of_edges()
n2 = G2.number_of_edges()
e1 = G1.edges()
e2 = G2.edges()
for i in range(int(n1*frequency[0])):
tmp = random.randint(0,n1-1)
G.add_edge(e1[tmp][0], e1[tmp][1])
target_nodes = calc.find_max_nodes(G2)
print 'Top nodes'
print target_nodes
for i in range(int(n2*frequency[1])):
tmp = random.randint(0,n2-1)
#Top target
random_tmp = random.choice(target_nodes)
#Target of top targets
random_tmp_target = random.choice(G2.neighbors(random_tmp[0]))
G.add_edge(random_tmp[0], random_tmp_target)
return G
def merge_graph_by_rank(G, G1, G2, frequency):
#HCC is 0.9, Luc is 0.1 make sure
n1 = G1.number_of_edges()
n2 = G2.number_of_edges()
e1 = G1.edges()
e2 = G2.edges()
for i in range(int(n1 * frequency[0])):
tmp = random.randint(0, n1 - 1)
G.add_edge(e1[tmp][0], e1[tmp][1])
target_nodes = calc.find_max_nodes(G2)
print 'Top nodes'
print target_nodes
for i in range(int(n2 * frequency[1])):
tmp = random.randint(0, n2 - 1)
#Top target
random_tmp = random.choice(target_nodes)
#Target of top targets
random_tmp_target = random.choice(G2.neighbors(random_tmp[0]))
G.add_edge(random_tmp[0], random_tmp_target)
return G
def cut_graph(G):
target_nodes = calc.find_max_nodes(G)
for t in target_nodes:
t_edges = G.neighbors(t[0])
for t_e in t_edges:
G.remove_edge(t[0], t_e)
G.remove_node(t[0])
return G
def cut_graph(G):
target_nodes = calc.find_max_nodes(G)
for t in target_nodes:
t_edges = G.neighbors(t[0])
for t_e in t_edges:
G.remove_edge(t[0], t_e)
G.remove_node(t[0])
return G
def update_graph(G, gro):
target_nodes = calc.find_max_nodes(G)
#return calc.add_edges(G, target_nodes, gro)
return calc.add_random_edges(G, target_nodes, gro)
def update_graph_mix_new(G, gro, mix_new):
target_nodes = calc.find_max_nodes(G)
return calc.add_random_edges_nodes(G, target_nodes, gro, mix_new)
def update_graph_mix_new(G, gro, mix_new):
target_nodes = calc.find_max_nodes(G)
return calc.add_random_edges_nodes(G, target_nodes, gro, mix_new)
def update_graph(G, gro):
target_nodes = calc.find_max_nodes(G)
#return calc.add_edges(G, target_nodes, gro)
return calc.add_random_edges(G, target_nodes, gro)
