fileName = sys.argv[1]
else:
fileName = "Graph_LargeSet"
# create 3 files
fo = open("PerplexityValues.txt", 'wb')
fo.write("PerplexityValues at different iterations till convergence\n")
fh = open("Top50_PageRank.txt", 'wb')
fh.write("Top 50 URLs with high page ranks \n")
fd = open("Top50_InLinks.txt", 'wb')
fd.write("Top 50 URLs with high in-links \n")
# create PageRankCalculator object with input and run the process
# till it is converged
# ----------------------------------------------------------------
prc = PageRankCalculator(fileName, fh)
prc.iterateTillConvergence()
# ----------------------------------------------------------------
noInLinkC = 0
noOutLinkC = 0
reducedPR = 0
totalURLS = prc.N
initialPR = 1 / float(totalURLS)
for key, value in prc.urls.iteritems():
urlPR[key] = value.rank
urlInLink[key] = len(value.inList)
if len(value.inList) == 0:
noInLinkC += 1
if len(value.outList) == 0:
noOutLinkC += 1
fileName = sys.argv[1]
else:
fileName = "Graph_LargeSet"
# create 3 files
fo = open("PerplexityValues.txt", 'wb')
fo.write("PerplexityValues at different iterations till convergence\n")
fh = open("Top50_PageRank.txt", 'wb')
fh.write("Top 50 URLs with high page ranks \n")
fd = open("Top50_InLinks.txt", 'wb')
fd.write("Top 50 URLs with high in-links \n")
# create PageRankCalculator object with input and run the process
# till it is converged
# ----------------------------------------------------------------
prc = PageRankCalculator(fileName, fh)
prc.iterateTillConvergence()
# ----------------------------------------------------------------
noInLinkC = 0
noOutLinkC = 0
reducedPR = 0
totalURLS = prc.N
initialPR = 1/float(totalURLS)
for key, value in prc.urls.iteritems():
urlPR[key] = value.rank
urlInLink[key] = len(value.inList)
if len(value.inList) == 0:
noInLinkC += 1
if len(value.outList) == 0:
noOutLinkC += 1
#! /usr/bin/python
import sys
from page_rank import PageRankCalculator
if __name__ == '__main__':
# The input graph consists of 6 nodes
if len(sys.argv) > 1:
fileName = sys.argv[1]
else:
fileName = "Graph_SmallSet"
fh = open("RankAtIterations.txt", 'wb')
prc = PageRankCalculator(fileName, fh)
# Calculate Page rank for 100 iterations
for i in range(1, 101):
prc.calculatePROneIteration()
# Record PageRank values after 1, 10, 100 iterations
if i == 1 or i == 10 or i == 100:
fh.write("Iteration: " + str(i) + "\n")
print "Iteration No. : ", i
for key, value in prc.urls.iteritems():
print "Node: ", key, " | Rank: ", value.rank
fh.write("Node: " + key + " | Rank: " + str(value.rank) + '\n')
#! /usr/bin/python
import sys
from page_rank import PageRankCalculator
if __name__ == '__main__':
# The input graph consists of 6 nodes
if len(sys.argv) > 1:
fileName = sys.argv[1]
else:
fileName = "Graph_SmallSet"
fh = open("RankAtIterations.txt", 'wb')
prc = PageRankCalculator(fileName, fh)
# Calculate Page rank for 100 iterations
for i in range(1,101):
prc.calculatePROneIteration()
# Record PageRank values after 1, 10, 100 iterations
if i == 1 or i == 10 or i == 100:
fh.write("Iteration: " + str(i) + "\n")
print "Iteration No. : ", i
for key, value in prc.urls.iteritems():
print "Node: ", key," | Rank: ", value.rank
fh.write("Node: " + key + " | Rank: " + str(value.rank) + '\n')
