nd.nfd function

Network Flow Distance

nd.nfd(
  A,
  order = 0,
  out.dist = TRUE,
  vect = seq(from = 0, to = 10, length.out = 1000)
)

Arguments

• A: a list of length $N$ containing adjacency matrices.
• order: the order of Laplacian; currently only 0 and 1 are supported.
• out.dist: a logical; TRUE for computed distance matrix as a dist object.
• vect: a vector of parameters $t$ whose values will be used.

Returns

a named list containing

• D: an $(N\times N)$ matrix or dist object containing pairwise distance measures.

Examples

## Not run:

## load example data
data(graph20)

# compute two diffusion-based distances and visualize
out1 = nd.gdd(graph20, out.dist=FALSE)
out2 = nd.nfd(graph20, out.dist=FALSE)

# visualize
opar <- par(no.readonly=TRUE)
par(mfrow=c(1,2), pty="s")
image(out1$D[,20:1],col=gray((0:32)/32), main="nd.gdd",axes=FALSE)
image(out2$D[,20:1],col=gray((0:32)/32), main="nd.nfd",axes=FALSE)
par(opar)
## End(Not run)