Function for plotting network objects using ggplot2, now replaced by the
ggnet2
function, which provides additional control over
plotting parameters. Please visit http://github.com/briatte/ggnet for
the latest version of ggnet2, and https://briatte.github.io/ggnet for a
vignette that contains many examples and explanations.
1 2 3 4 5 6 7 8 9 10 11  ggnet(net, mode = "fruchtermanreingold", layout.par = NULL,
layout.exp = 0, size = 9, alpha = 1, weight = "none",
weight.legend = NA, weight.method = weight, weight.min = NA,
weight.max = NA, weight.cut = FALSE, group = NULL, group.legend = NA,
node.group = group, node.color = NULL, node.alpha = alpha,
segment.alpha = alpha, segment.color = "grey50", segment.label = NULL,
segment.size = 0.25, arrow.size = 0, arrow.gap = 0,
arrow.type = "closed", label = FALSE, label.nodes = label,
label.size = size/2, label.trim = FALSE, legend.size = 9,
legend.position = "right", names = c("", ""), quantize.weights = FALSE,
subset.threshold = 0, top8.nodes = FALSE, trim.labels = FALSE, ...)

net 
an object of class 
mode 
a placement method from those provided in the

layout.par 
options to be passed to the placement method, as listed in
gplot.layout.
Defaults to 
layout.exp 
a multiplier to expand the horizontal axis if node labels
get clipped: see expand_range for details.
Defaults to 
size 
size of the network nodes. If the nodes are weighted, their area is proportionally scaled up to the size set by 
alpha 
a level of transparency for nodes, vertices and arrows.
Defaults to 
weight 
the weighting method for the nodes, which might be a vertex
attribute or a vector of size values. Also accepts 
weight.legend 
the name to assign to the legend created by

weight.method 
see 
weight.min 
whether to subset the network to nodes with a minimum size,
based on the values of 
weight.max 
whether to subset the network to nodes with a maximum size,
based on the values of 
weight.cut 
whether to cut the size of the nodes into a certain number
of quantiles. Accepts 
group 
the groups of the nodes, either as a vector of values or as a
vertex attribute. If set to 
group.legend 
the name to assign to the legend created by

node.group 
see 
node.color 
a vector of character strings to color the nodes with,
holding as many colors as there are levels in 
node.alpha 
transparency of the nodes. Inherits from 
segment.alpha 
the level of transparency of the edges.
Defaults to 
segment.color 
the color of the edges, as a color value, a vector of
color values, or as an edge attribute containing color values.
Defaults to 
segment.label 
the labels to plot at the middle of the edges, as a
single value, a vector of values, or as an edge attribute.
Defaults to 
segment.size 
the size of the edges, in points, as a single numeric
value, a vector of values, or as an edge attribute.
Defaults to 
arrow.size 
the size of the arrows for directed network edges, in
points. See 
arrow.gap 
a setting aimed at improving the display of edge arrows by
plotting slightly shorter edges. Accepts any value between 
arrow.type 
the type of the arrows for directed network edges. See

label 
whether to label the nodes. If set to 
label.nodes 
see 
label.size 
the size of the node labels, in points, as a numeric value,
a vector of numeric values, or as a vertex attribute containing numeric
values.
Defaults to 
label.trim 
whether to apply some trimming to the node labels. Accepts
any function that can process a character vector, or a strictly positive
numeric value, in which case the labels are trimmed to a fixedlength
substring of that length: see 
legend.size 
the size of the legend symbols and text, in points.
Defaults to 
legend.position 
the location of the plot legend(s). Accepts all

names 
deprecated: see 
quantize.weights 
deprecated: see 
subset.threshold 
deprecated: see 
top8.nodes 
deprecated: this functionality was experimental and has
been removed entirely from 
trim.labels 
deprecated: see 
... 
other arguments passed to the 
The degree centrality measures that can be produced through the
weight
argument will take the directedness of the network into account,
but will be unweighted. To compute weighted network measures, see the
tnet
package by Tore Opsahl (help("tnet", package = "tnet")
).
Moritz Marbach and Francois Briatte, with help from Heike Hoffmann, Pedro Jordano and MingYu Liu
ggnet2
in this package,
gplot
in the sna
package, and
plot.network
in the network
package
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27  library(network)
# random adjacency matrix
x < 10
ndyads < x * (x  1)
density < x / ndyads
m < matrix(0, nrow = x, ncol = x)
dimnames(m) < list(letters[ 1:x ], letters[ 1:x ])
m[ row(m) != col(m) ] < runif(ndyads) < density
m
# random undirected network
n < network::network(m, directed = FALSE)
n
ggnet(n, label = TRUE, alpha = 1, color = "white", segment.color = "black")
# random groups
g < sample(letters[ 1:3 ], 10, replace = TRUE)
# color palette
p < c("a" = "steelblue", "b" = "forestgreen", "c" = "tomato")
ggnet(n, node.group = g, node.color = p, label = TRUE, color = "white")
# edge arrows on a directed network
ggnet(network(m, directed = TRUE), arrow.gap = 0.05, arrow.size = 10)

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