RWR: RWR

In DRaWR: Discriminative Random Walk with Restart

RWR

Description

This function runs a random walk with restart using two supported matrix representations.

Usage

RWR(boolSparceMat, transmat, restart, query, startvec, maxiters, thresh)

Arguments

boolSparceMat	(bool): Boolean to indicate sparce Matrix or list matrix.
transmat	(sparce Matrix / list matrix): transition probabilities.
restart	(float): probability of restart.
query	(vector): probability of restarting at all nodes.
startvec	(vector): initial probability of being at any node.
maxiters	(int): maximum number of allowable iterations.
thresh	(float): threshold for L1 norm convergence.

Value

list of 'iter':number of iterations, 'diff': L1 norm of difference, 'vec': converged probability distribution vector.

Examples

RWR(boolSparceMat=TRUE, transmat=transmat, restart=.3, query=c(rep(0.1,10),rep(0,5)),
	startvec=rep(1/15,15), maxiters=10, thresh=0.001)

DRaWR documentation built on March 24, 2022, 5:07 p.m.