net_enn: Construct an epsilon-network from a distance matrix.

In ts2net: From Time Series to Networks

Construct an epsilon-network from a distance matrix.

Description

Construct an epsilon-network from a distance matrix.

Usage

net_enn(
  D,
  eps,
  treat_NA_as = 1,
  is_dist_symetric = TRUE,
  weighted = FALSE,
  invert_dist_as_weight = TRUE,
  add_col_rownames = TRUE
)

Arguments

D	Distance matrix
eps	the threshold value to be considered a link. Only values lower or equal to epsilon become 1.
treat_NA_as	A numeric value, usually 1, that represent NA values in the distance matrix
is_dist_symetric	Boolean, TRUE (default) if dist is symmetric
weighted	Boolean, TRUE will create a weighted network
invert_dist_as_weight	Boolean, if weighted == TRUE, then the weights become 1 - distance. This is the default behavior since most network measures interpret higher weights as stronger connection.
add_col_rownames	Boolean. If TRUE (default), it uses the column and row names from dist matrix as node labels.

Value

a igraph network

ts2net documentation built on June 9, 2022, 9:06 a.m.