start = 100
end = 401
step = 20
x = []
oneWayRandom = []
twoWayRandom = []
oneWayAdamic = []
twoWayAdamic = []
for n in range(start, end, step):
AtoB.createScaleFreeNetwork(n, degree)
G = nx.read_gpickle("SFN_" + str(n) + "_" + str(degree) + ".gpickle")
#AtoB.createErdos(n,edgeProb)
#G = nx.read_gpickle("EG_" + str(n) + "_" + str(edgeProb) + ".gpickle")
result = AtoB.comparison_query(G)
oneWayRandom.append(result[0])
twoWayRandom.append(result[1])
oneWayAdamic.append(result[2])
twoWayAdamic.append(result[3])
x.append(n)
plt.plot(x, oneWayRandom)
plt.plot(x, twoWayRandom)
plt.plot(x, oneWayAdamic)
plt.plot(x, twoWayAdamic)
plt.xlabel("Number of Nodes")
plt.ylabel("Average of (length of approx path / length of shortest path) over nC2 pairs")
#plt.title("Average time taken to compute the approximate shortest path for all the nC2 pairs")
plt.show()
import numpy
import math
import AtoB
import matplotlib.pyplot as plt
import random
import networkx as nx
import pdb
import pickle
n = 200
edgeProb = 0.3
degree = 3
# name = "gnutella"
# AtoB.createErdos(n,edgeProb)
# G = nx.read_gpickle("EG_" + str(n) + "_" + str(edgeProb) + ".gpickle")
# AtoB.createScaleFreeNetwork(n, degree)
# G = nx.read_gpickle("SFN_" + str(n) + "_" + str(degree) + ".gpickle")
AtoB.createRealWorld(name)
G = nx.read_gpickle(str(name) + ".gpickle")
# AtoB.simple_query(G)
AtoB.comparison_query(G)
import numpy
import math
import AtoB
import matplotlib.pyplot as plt
import random
import networkx as nx
import pdb
import pickle
name = "gnutella"
trials = 100
G = nx.read_gpickle(str(name) + ".gpickle")
result = AtoB.comparison_query(G, trials)
ind = numpy.arange(4)
width = 0.15
plt.bar(ind, (result[0], result[1], result[2], result[3]), width)
plt.xticks(ind+width/2., ('One-way Random walk', 'Two-way Random walk', 'One-way Adamic walk', 'Two-way Adamic walk') )
plt.xlabel("Number of Nodes")
plt.ylabel("Average of (length of approx path / length of shortest path) over nC2 pairs")
#plt.title("Average time taken to compute the approximate shortest path for all the nC2 pairs")
plt.show()
#AtoB.createRealWorld(name)
#G = nx.read_gpickle(str(name) + ".gpickle")
#AtoB.simple_query(G)
#AtoB.comparison_query(G)
