GetSngVec

Note

This page is a draft and under revision.

GetSngVec(Graph, SngVecs, SngValV, LeftSV, RightSV)

Note

This function is not yet supported.

Computes the singular values and left and right singular vectors of the adjacency matrix representing a directed Graph.

Parameters:

• Graph: graph (input)

  A Snap.py graph or a network.

• SngVecs: int (input)

  The number of singular values/vectors to compute

• SngValV: TFltV (output)

  Computed singular values stored as a vector of floats

• LeftSV: TVec<TFltV> (output)

  Computed left singular vectors stored as a vector of vectors of floats

• RightSV: TVec<TFltV> (output)

  Computed right singular vectors stored as a vector of vectors of floats

Return value:

• None

The following example shows how to fetch the in-degrees for nodes in TNGraph, TUNGraph, and TNEANet:

import snap

Graph = snap.GenRndGnm(snap.PNGraph, 100, 1000)
SngVecs = 5
SngValV = snap.TFltV()
LeftSV = snap.TVec(snap.TFltV())
RightSV = snap.TVec(snap.TFltV())
snap.GetSngVec(Graph, SngVecs, SngValV, LeftSV, RightSV)
for value in SngValV:
    print("Singular value: %f" % value)
for vector in LeftSV:
    for value in vector:
        print("Left Singular Vector Value %f" % value)
for vector in RightSV:
    for value in vector:
        print("Right Singular Vector Value %f" % value)

Graph = snap.GenRndGnm(snap.PUNGraph, 100, 1000)
SngVecs = 5
SngValV = snap.TFltV()
LeftSV = snap.TVec(snap.TFltV())
RightSV = snap.TVec(snap.TFltV())
snap.GetSngVec(Graph, SngVecs, SngValV, LeftSV, RightSV)
for value in SngValV:
    print("Singular value: %f" % value)
for vector in LeftSV:
    for value in vector:
        print("Left Singular Vector Value %f" % value)
for vector in RightSV:
    for value in vector:
        print("Right Singular Vector Value %f" % value)

Graph = snap.GenRndGnm(snap.PNEANet, 100, 1000)
SngVecs = 5
SngValV = snap.TFltV()
LeftSV = snap.TVec(snap.TFltV())
RightSV = snap.TVec(snap.TFltV())
snap.GetSngVec(Graph, SngVecs, SngValV, LeftSV, RightSV)
for value in SngValV:
    print("Singular value: %f" % value)
for vector in LeftSV:
    for value in vector:
        print("Left Singular Vector Value %f" % value)
for vector in RightSV:
    for value in vector:
        print("Right Singular Vector Value %f" % value)