GetPageRank
'''''''''''

.. function:: GetPageRank(Graph, PRankH, C = 0.85, Eps = 1e-4, MaxIter = 100)

Computes the PageRank score of every node in *Graph*. The scores are stored in *PRankH*.

Parameters:

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

- *PRankH*: a hash of int keys and float values (output)
    PageRank scores. Keys are node IDs, values are computed PageRank scores.

- *C*: float (input)
    Damping factor

- *Eps*: float (input)
    Convergence difference

- *MaxIter*: int (input)
    Maximum number of iterations

Return value:

- None

For more info see: http://en.wikipedia.org/wiki/PageRank

The following example shows how to calculate PageRank scores for nodes in
:class:`TNGraph`, :class:`TUNGraph`, and :class:`TNEANet`::

    import snap

    Graph = snap.GenRndGnm(snap.PNGraph, 100, 1000)
    PRankH = snap.TIntFltH()
    snap.GetPageRank(Graph, PRankH)
    for item in PRankH:
        print item.GetKey(), item.GetDat()

    Graph = snap.GenRndGnm(snap.PUNGraph, 100, 1000)
    PRankH = snap.TIntFltH()
    snap.GetPageRank(Graph, PRankH)
    for item in PRankH:
        print item.GetKey(), item.GetDat()

    Graph = snap.GenRndGnm(snap.PNEANet, 100, 1000)
    PRankH = snap.TIntFltH()
    snap.GetPageRank(Graph, PRankH)
    for item in PRankH:
        print item.GetKey(), item.GetDat()