def do_one():
net = Network.BarabasiAlbert(n_nodes=100, n_links_each=10)
return net.global_clustering()
def master():
net = Network.BarabasiAlbert(n_nodes=1000, n_links_each=10)
print net.newman_betweenness()
mpi.info()
import numpy
from pyunicorn import Network, mpi
offset = 10
n_max = 1000
s = 0
n = mpi.rank + offset
while n <= n_max + offset:
s += Network.BarabasiAlbert(n_nodes=n).global_clustering()
n += mpi.size
numpy.save("s" + str(mpi.rank), s)