https://github.com/kit-parco/networkit
Tip revision: d8e952f1e4d5e2758e4744e7c6ea7429a59c7cdf authored by Fabian Brandt on 29 May 2020, 15:04:07 UTC
Merge pull request #558 from fabratu/fix-ctd
Merge pull request #558 from fabratu/fix-ctd
Tip revision: d8e952f
globals.py
from _NetworKit import ClusteringCoefficient
#external imports
import math
import logging
def clustering(G, error=0.01):
"""
Returns approximate average local clustering coefficient
The maximum error can be given as a parameter and determines
the number of samples taken.
for details see:
Schank, Wagner: Approximating Clustering Coefficient and Transitivity
"""
if G.numberOfNodes() < 100:
return ClusteringCoefficient().avgLocal(G)
else:
nSamples = math.ceil(math.log(10) / (error**2)) # fixed confidence of 90%
logging.info("taking {0} samples".format(nSamples))
return ClusteringCoefficient().approxAvgLocal(G, nSamples)