def main():
rc = Client()
dview = rc[:]
networks = [gnp(40, p) for p in np.arange(0, 0.9, 0.1)]
opinions = [rand.rand(40) for p in np.arange(0, 0.9, 0.1)]
asyncs = dview.map_sync(f1, zip(networks, opinions))
print[res for res in asyncs]
def main():
rc = Client()
dview = rc[:]
networks = [gnp(40, p) for p in np.arange(0, 0.9, 0.1)]
opinions = [rand.rand(40) for p in np.arange(0, 0.9, 0.1)]
asyncs = dview.map_sync(f1, zip(networks, opinions))
print [res for res in asyncs]
def test():
import numpy as np
from numpy import diag
import numpy.random as rand
from numpy.linalg import norm, inv
import models
from viz import plotNetwork
from util import gnp, barabasi_albert, from_edgelist, rowStochastic
rand.seed(1233)
#A, N = from_edgelist('./networks/facebook_combined.txt')
N = 2000
A = gnp(N,0.02)
A = rowStochastic(A)
s = rand.rand(N)
max_rounds = 1000
#A = gnp(N, 0.12, rand_weights=True)
B = diag(rand.rand(N)) * 0.5
#models.deGroot(A, s, max_rounds)
models.friedkinJohnsen(A, s, max_rounds, conv_stop=False)
