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$ python3 fast_consensus.py -f examples/karate_club.txt --alg louvain

multiprocessing.pool.RemoteTraceback: 
"""
Traceback (most recent call last):
  File "/usr/lib/python3.5/multiprocessing/pool.py", line 119, in worker
    result = (True, func(*args, **kwds))
  File "/usr/lib/python3.5/multiprocessing/pool.py", line 44, in mapstar
    return list(map(*args))
  File "fast_consensus.py", line 97, in louvain_community_detection
    return cm.partition_at_level(cm.generate_dendrogram(networkx_graph, randomize=True, weight='weight'), 0)
AttributeError: module 'networkx.algorithms.community' has no attribute 'partition_at_level'
"""

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "fast_consensus.py", line 352, in <module>
    output = fast_consensus(G, algorithm=args.alg, n_p=args.parts, thresh=args.tau, delta=args.delta, procs=args.procs)
  File "fast_consensus.py", line 124, in fast_consensus
    communities_all = pool.map(louvain_community_detection, get_yielded_graph(graph, n_p))
  File "/usr/lib/python3.5/multiprocessing/pool.py", line 260, in map
    return self._map_async(func, iterable, mapstar, chunksize).get()
  File "/usr/lib/python3.5/multiprocessing/pool.py", line 608, in get
    raise self._value
AttributeError: module 'networkx.algorithms.community' has no attribute 'partition_at_level'