Note that this only works for undirected graphs. Regardless of whether the input graph is directed it is treated as undirected graph.
plot_gaps( net, motif, lvl_attr = c("sesType"), level = -1, cutoff = 2, subset_graph = "none", ... )
net | Statnet network object |
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motif | Motif to explore gaps in for |
lvl_attr | Node attribute specifying level information |
level | Focal level for gap analysis |
cutoff | Cut-off point in contributions of an edge to the number of motifs above which to analyse gaps |
subset_graph | Whether to subset the graph to only show nodes involved in gaps. One of "none" (no subset, default), "partial" (only focal level is subset) or "focal" (only focal level shown) |
... | list of additional parameters to be passed to plotting function
(see |
A plot of gaps, sized by weight in a multilevel network
# \dontrun{ plot_gaps(ml_net, "1,2[II.C]", level = -1)plot_gaps(ml_net, "1,2[II.C]", level = -1, subset_graph = "focal", cutoff = 4, label = TRUE )plot_gaps(ml_net, "1,2[II.C]", level = -1, subset_graph = "partial", cutoff = 4, label = TRUE )# }