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VoteRank_txt.py
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VoteRank_txt.py
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import numpy as np
from math import fabs
from time import time
data = open('Wiki-Vote.txt')
N = 7115
tax_rate = 0.8
eps = 1e-8
r = [1./N for i in range(N)]
r2 = [1./N for i in range(N)]
out_degree = [0 for i in range(N)]
in_degree = [0 for i in range(N)]
user_ID = [0 for i in range(N)]
m = [[] for i in range(N*2)] # in matrix
n = [[] for i in range(N*2)] # out matrix
hash_table = [-1 for i in range(N*2)]
alpha = [1 for i in range(N)]
beta = [1 for i in range(N)]
idx = 0
def hash(x):
global idx
if hash_table[x] == -1:
hash_table[x] = idx
idx += 1
return hash_table[x]
info1 = data.readline()
info2 = data.readline()
info3 = data.readline()
info4 = data.readline()
for line in data:
from_ID, to_ID = map(int, line.split())
x, y = map(hash, [from_ID, to_ID])
user_ID[x] = from_ID
user_ID[y] = to_ID
out_degree[x] += 1
in_degree[y] += 1
m[y].append(x)
n[x].append(y)
for i in range(N):
same = 0
if in_degree[i] != 0:
for end in n[i]:
if i in n[end]:
same += 1
alpha[i] = same / in_degree[i]
else:
alpha[i] = 0
beta = [(1-alpha[i])*tax_rate for i in range(N)]
print('data loaded')
print('start iterating...')
t = 0
begin = time()
while True:
for i in range(N):
r[i] = 0
for in_id in m[i]:
r[i] += beta[i] * r2[in_id] / out_degree[in_id]
der = 1 - sum(r)
for i in range(N):
r[i] += der / N
error = 0
for i in range(N):
if fabs(r[i]-r2[i]) > eps:
error = 1
break
for i in range(N):
r2[i] = r[i]
t += 1
if error == 0:
break
end = time()
ranking = np.argsort(r)
ranking = ranking[::-1]
with open('VoteRank_result.txt', 'w+') as f:
f.write(info1)
f.write(info2)
f.write(info3)
f.write('# Ranking UserID Rank OutDegree InDegree Punishment\n')
for i in range(N):
f.write(' %d %d %.4e %d %d %.2f\n' % (i+1, user_ID[ranking[i]], r[ranking[i]], out_degree[ranking[i]], in_degree[ranking[i]], alpha[ranking[i]]))
print('total iteration is %d' % t)
print('total time is %f' % (end - begin))