fruchterman_reingold: Perform Fruchterman-Reingold layout of a network in 2 or more...

In VBLPCM: Variational Bayes Latent Position Cluster Model for Networks

Perform Fruchterman-Reingold layout of a network in 2 or more dimensions.

Description

This was written and incorporated into the VBLPCM package because the Fruchterman-Reingold routine in the network package only works in two dimensions.

Usage

fruchterman_reingold(net, D=2, steps=1000, repulserad=N^D, m=N*(D-1), 
                            volume=N*(D-1))

Arguments

net	network object on which to perform Fruchterman-Reingold layout.
D	Desired dimension of the space in which to lay out the network.
steps	Number of desired iterations.
repulserad	The radius at which repulsion and attraction of linked nodes are equal.
m	The maximum change in position per iteration.
volume	The volume of space within which to position the nodes.

Value

An N*D matrix of coordinates.

Author(s)

Michael Salter-Townshend

See Also

log_like_forces

Examples

### 2D example
### load the aids blogs dataset
data(aids)
### perform the Fruchterman-Reingold layout
X<-fruchterman_reingold(aids.net, D=2, steps=1e3)
### plot the results
plot(X)

### 3D example
### load the aids blogs dataset
data(aids)
### perform the Fruchterman-Reingold layout
X<-fruchterman_reingold(aids.net, D=3, steps=1e3)
### Not run
### plot the results in 3D
# library(rgl)
# plot3d(X)

VBLPCM documentation built on March 31, 2023, 9:21 p.m.