def randon_main(g, folder):
g = gen(g)
metrics = extractor(g.copy(), 1)
graphBuilder(g, metrics[1], metrics[0], 'GiantRandon', folder, 1)
metrics = extractor(g.copy(), 2)
graphBuilder(g, metrics[1], metrics[0], 'EficRandon', folder, 2)
def grapher(g):
csv_gen(g.copy(), "Vinicios", 'giant', 1)
metrics = extractor(g.copy(), 1)
graphBuilder(g, metrics[1], metrics[0], 'GiantComponent',
"Vinicios/Graphs/Giant", 1)
csv_gen(g.copy(), "Vinicios", 'eff', 2)
metrics = extractor(g.copy(), 2)
graphBuilder(g, metrics[1], metrics[0], 'Efficiency',
"Vinicios/Graphs/Effc", 2)
csv_gen(g.copy(), "Vinicios", 'flow', 3)
metrics = extractor(g.copy(), 3)
graphBuilder(g, metrics[1], metrics[0], 'TotalFlow',
"Vinicios/Graphs/Flow", 3)
def main(network):
for net in network:
g = _main(net)
# csv_gen(g.copy(), 'csvOutPut', net)
metrics = extractor(g.copy(), 1)
graphBuilder(g, metrics[1], metrics[0], net,
'GeneratedGraph/GiantComponent', 1)
# csv_gen(g.copy(),'csvOutPut', net, 2)
metrics = extractor(g.copy(), 2)
graphBuilder(g, metrics[1], metrics[0], net,
'GeneratedGraph/Efficiency', 2)
# csv_gen(g.copy(),'csvOutPut', net, 3)
metrics = extractor(g.copy(), 3)
graphBuilder(g, metrics[1], metrics[0], net,
'GeneratedGraph/TotalFlow', 3)
def vinic(g, type):
metr = extractor(g, type)
m = metr[2]
deg.append(m[0])
bet.append(m[1])
betw.append(m[2])
stren.append(m[3])
vuln.append(m[4])
vulnw.append(m[5])
eff.append(m[6])
return [
np.mean(deg),
np.mean(bet),
np.mean(betw),
np.mean(stren),
np.mean(vuln),
np.mean(vulnw),
np.mean(eff)
]
def temporary(networks, type):
deg = []
bet = []
betw = []
stren = []
vuln = []
vulnw = []
eff = []
for net in networks:
g = _main(net)
metr = extractor(g, type)
m = metr[2]
deg.append(m[0])
bet.append(m[1])
betw.append(m[2])
stren.append(m[3])
vuln.append(m[4])
vulnw.append(m[5])
eff.append(m[6])
# print(mean(deg), mean(bet), mean(betw), mean(stren), mean(vuln), mean(vulnw), mean(eff))
# return [[np.mean(deg), np.mean(bet), np.mean(betw), np.mean(stren), np.mean(vuln), np.mean(vulnw), np.mean(eff)],
# [np.std(deg), np.std(bet), np.std(betw), np.std(stren), np.std(vuln), np.std(vulnw), np.std(eff)]]
return [deg, bet, betw, stren, vuln, vulnw, eff]