args = sys.argv[1:]
if len(args) != 3:
print "Usage: er.py n_nodes p prop_steps"
sys.exit(1)
n_nodes = int(args[0])
p = float(args[1])
prop_steps = float(args[2])
steps = int(n_nodes * prop_steps)
results_path = "results/er_%s_%s_%s_%s" % (n_nodes, p, prop_steps, time.time())
if not os.path.exists(results_path):
os.makedirs(results_path)
try:
digraph = nx.fast_gnp_random_graph(n_nodes, p, directed = True)
nx.write_edgelist(digraph,
"%s/er.csv" % (results_path,),
delimiter = ",")
jointrw.main(digraph, #graph
steps, #number of steps
also_recip=True,
plot_path=results_path,
title=("\nn=%s, p=%s" % (n_nodes, p) +
", runs=%s, walkers=%s, steps=%s" % (1, 1, steps)))
plt.show()
except IndexError:
import shutil
print "died because graph not reciprocally connected!"
shutil.rmtree(results_path)
print "Usage: er.py n_nodes p prop_steps"
sys.exit(1)
n_nodes = int(args[0])
p = float(args[1])
prop_steps = float(args[2])
steps = int(n_nodes * prop_steps)
results_path = "results/er_%s_%s_%s_%s" % (n_nodes, p, prop_steps,
time.time())
if not os.path.exists(results_path):
os.makedirs(results_path)
try:
digraph = nx.fast_gnp_random_graph(n_nodes, p, directed=True)
nx.write_edgelist(digraph,
"%s/er.csv" % (results_path, ),
delimiter=",")
jointrw.main(
digraph, #graph
steps, #number of steps
also_recip=True,
plot_path=results_path,
title=("\nn=%s, p=%s" % (n_nodes, p) +
", runs=%s, walkers=%s, steps=%s" % (1, 1, steps)))
plt.show()
except IndexError:
import shutil
print "died because graph not reciprocally connected!"
shutil.rmtree(results_path)
try:
netpath = generate_krapivsky_networks(results_path,
n_nodes=n_nodes,
p=p,
lamb=l,
mu=m,
r=r,
fname_base='krapiv')
f = open(netpath, 'r')
digraph = nx.DiGraph()
nx.parse_edgelist(f,
comments="#",
delimiter=",",
nodetype=int,
create_using=digraph)
f.close()
jointrw.main(
digraph,
steps,
also_recip=True,
plot_path=results_path,
title=("\nn=%s, p=%s, l=%s, m=%s, r=%s" % (n_nodes, p, l, m, r) +
", runs=%s, walkers=%s, steps=%s" % (1, 1, steps)))
plt.show()
except IndexError:
import shutil
print "died because graph not reciprocally connected!"
shutil.rmtree(results_path)
#!/usr/bin/env python
import os, os.path
import gzip
import networkx as nx
import urllib
import jointrw
data_path = 'data/wiki-Talk.txt.gz'
if __name__ == '__main__':
if not os.path.exists(data_path):
print "pulling data..."
d = os.path.dirname(data_path)
if not os.path.exists(d):
os.makedirs(d)
urllib.urlretrieve('http://snap.stanford.edu/data/wiki-Talk.txt.gz',data_path)
print 'reading data...'
f = gzip.open(data_path,'r')
digraph = nx.DiGraph()
nx.parse_edgelist(f,
comments="#",
delimiter="\t",
nodetype = int,
create_using=digraph)
f.close()
print 'random walk...'
jointrw.main(digraph, digraph.order() // 100, also_recip=False)
netpath = generate_krapivsky_networks(results_path,
n_nodes = n_nodes,
p = p,
lamb = l,
mu = m,
r = r,
fname_base = 'krapiv')
f = open(netpath,'r')
digraph = nx.DiGraph()
nx.parse_edgelist(f,
comments="#",
delimiter=",",
nodetype = int,
create_using=digraph)
f.close()
jointrw.main(digraph,
steps,
also_recip = True,
plot_path=results_path,
title= ("\nn=%s, p=%s, l=%s, m=%s, r=%s" % (n_nodes, p, l, m, r) +
", runs=%s, walkers=%s, steps=%s" % (1, 1, steps)))
plt.show()
except IndexError:
import shutil
print "died because graph not reciprocally connected!"
shutil.rmtree(results_path)
