DetectOverlappingCommunitiesSLPAw: Pure R implementation of SLPAw (Xie et. al 2011)

In rahuldhodapkar/crules: Association Rule Learning Toolkit for Single Cells

Description

Pure R implementation of SLPAw (Xie et. al 2011)

Usage

DetectOverlappingCommunitiesSLPAw(
  W,
  num.iters = 20,
  rand.seed = 42,
  community.threshold = 0.25
)

Arguments

W	a weighted walk matrix
num.iters	a predefined number of iterations after which to terminate the SLPA algorithm. Default 20, reported as empirically observed general stability threshold in the original paper.
rand.seed	an integer seed for the RNG, default=42
community.threshold	a number in [0,1] to determine the thresholding value for communities to report. The function will report all communities with a total number of labels >= floor(community.threshold * num.iters) in memory for each node.

Value

a list of lists of node IDs containing communities identified

rahuldhodapkar/crules documentation built on Jan. 21, 2022, 2:06 p.m.