GetAnfEffDiam (SWIG)
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.. function:: GetAnfEffDiam(Graph, NRuns=1, NApprox=-1)
   :noindex:

Returns a 90th percentile of the shortest path length distribution of a Graph (based on a NRuns runs of Approximate Neighborhood Function of approximation quality NApprox). 

Parameters:

- *Graph*: graph (input)
    A Snap.py graph or a network.

- *NRuns*: int (input)
    Number of runs of the Approximate Neighborhood Function (ANF). Default value is 1.

- *NApprox*: int (input)
    Number of approximations. Default value is -1.

Return value:

- float
    the given 90th of the shortest path length distribution.

For more info see: http://www.cs.cmu.edu/~christos/PUBLICATIONS/kdd02-anf.pdf

The following example shows how to calculate the ANF Effective Diameter for a graph
:class:`TNGraph`, :class:`TUNGraph`, and :class:`TNEANet`::

    import snap

    Graph = snap.GenRndGnm(snap.PNGraph, 100, 1000)
    snap.GetAnfEffDiam(Graph)

    UGraph = snap.GenRndGnm(snap.PUNGraph, 100, 1000)
    snap.GetAnfEffDiam(UGraph)

    Network = snap.GenRndGnm(snap.PNEANet, 100, 1000)
    snap.GetAnfEffDiam(Network)