eff /= den
avg_path /= den
pos = net_file.find("out.")
net = "results/" + net_file[pos+4:]
net_n = "results/" + net_file[pos+4:]
# Saves the fitted degree distribution
l, k = an.power_law_fit(degs)
# print l, k
plt.savefig(net_n + "_dfit.pdf", dpi=200)
# Saves degree distribution
an.degree_histogram(degs, True, True, False)
plt.savefig(net_n + "_degree.pdf", dpi=200)
# Saves accum degree
an.degree_histogram_complementar(degs)
plt.savefig(net_n + "_degree_compl.pdf", dpi=200)
# Saves clustering distribution
an.local_cc_acc(clust)
plt.savefig(net_n + "_clust.pdf", dpi=200)
# local clustering x degree
an.local_cc_deg_distr(degs, clust)
plt.savefig(net_n + "_cc_deg.pdf", dpi=200)
Y = {}
lo = 1e9
hi = 0
for x in X:
tam = X[x]
lo = min (lo, math.log(tam))
hi = max (hi, math.log(tam))
if tam not in Y:
Y[tam] = []
Y[tam].append ([])
Y[tam].append ([])
Y[tam][0].append ( x[0] )
Y[tam][1].append ( x[1] )
for t in Y:
sz = math.log(t)/float(hi - lo) * 50
ax.scatter(Y[t][0], Y[t][1], facecolors='black', edgecolors='black', s=30, alpha=0.4)
ax.set_xlabel(u'Grau de Entrada', size=15)
ax.set_ylabel(u'Grau de Saída', size=15)
plt.grid (axis='x',color='grey', linestyle='--', lw=0.5, alpha=0.5)
plt.grid (axis='y',color='grey', linestyle='--', lw=0.5, alpha=0.5)
plt.savefig('../figs/evolution/chara/inout.pdf')
plt.close()
an.degree_histogram (in_deg, True, True, True, 'Grau de Entrada')
plt.savefig('../figs/evolution/chara/in.pdf')
plt.close()
an.degree_histogram (out_deg, True, True, True, u'Grau de Saida')
plt.savefig('../figs/evolution/chara/out.pdf')
for x in j['values']:
if x['user'] not in use:
p = get_time (x['date'])
if p[1].find("Apr 27") != -1:
continue
t.append (p[0])
hours[p[0]] = p[1]
use[x['user']] = 1
d2 = len(use)/float(len(j['values']))
d2 = round (d2, 3)
data.append (len(use))
per.append ( (-len(use), j['name']))
if len(use) > 1:
data2.append (d2)
per = sorted (per)
print data2
for i in range (0, 10):
print per[i][1] + ' & ' + str(-per[i][0]) + ' \\\\ \\hline'
plt.close()
fig = plt.figure()
ax = fig.add_subplot(111)
# plt.grid (axis='x',color='grey', linestyle='--', lw=0.5, alpha=0.5)
an.degree_histogram (data, True, True, True, u'#Usuários Únicos')
# plt.grid (axis='y',color='grey', linestyle='--', lw=0.5, alpha=0.5)
plt.savefig('../figs/tags/distr.pdf')
an.degree_histogram (data2, True, True, False, u'Usuários Totais/Usuários Únicos')
plt.savefig('../figs/tags/distr2.pdf')
