plot.dynet_metric: Plot a temporal measure

In Dynet: Tidy Temporal Network Analysis

Plot a temporal measure

Description

Draws the quantity against time. Node-level measures are drawn as one line per vertex; graph-level measures as one line per measure. Distinctions are carried by colour and line type together, never by colour alone.

Usage

## S3 method for class 'dynet_metric'
plot(
  x,
  type = c("line", "heatmap", "ridge"),
  highlight = NULL,
  top = NULL,
  palette = "okabe",
  base_size = 12,
  ...
)

Arguments

x	A dynet_metric.
type	"line" for trajectories over time, "heatmap" for a vertex-by-time tile plot, "ridge" for small multiples per measure. Ignored for a measure with no time axis.
highlight	Optional character vector naming the series to draw in colour, with everything else in grey: vertex names for a node-level measure, measure names for a graph-level one. For a mixing() result a group name selects every flow into or out of that group, so highlight = "Teacher" colours the teacher rows and columns of the mixing table. A name that matches nothing raises an error of class dynet_unknown_highlight. Ignored for a measure with no time axis.
top	How many rows to draw. For a measure taken over time, the top vertices with the largest mean value; NULL, the default, draws every vertex. For a measure with no time axis, the top rows with the largest absolute value, defaulting to 30, with a subtitle naming how many of how many are shown.
palette	Colours for the series: "okabe" (the default), "extended", "many", your own vector of colours, or a function of n.
base_size	Base font size.
...	Ignored.

Details

A measure with no time axis, such as reachability or durations(), has no trajectory to draw and is shown as a bar panel instead, one bar per vertex or pair and one facet per measure. type and highlight have nothing to act on there and are ignored.

Value

A ggplot object. Drawing happens when that object is printed, so the plot is the return value here rather than a side effect.

Examples

dn <- dynet(school_contacts)
degree <- centrality_series(dn, measure = "degree")
plot(degree, top = 5)
plot(degree, palette = "extended")

Dynet documentation built on Oct. 7, 2026, 5:08 p.m.