plot_graphMatch: Plotting methods for visualizing matches

In dpmcsuss/iGraphMatch: Tools for Graph Matching

Plotting methods for visualizing matches

Description

Two functions are provided, match_plot_igraph which makes a ball and stick plot from igraph objects and match_plot_matrix which shows an adjacency matrix plot.

Usage

## S4 method for signature 'igraph,igraph'
plot(x, y, match = NULL, color = TRUE, linetype = TRUE, ...)

## S4 method for signature 'Matrix,Matrix'
plot(x, y, match = NULL, col.regions = NULL, at = NULL, colorkey = NULL, ...)

Arguments

x	First graph, either an igraph object or a Matrix
y	second graph, either an igraph object or a Matrix
match	result from a match call. Requires element corr as a data.frame with names corr_A, corr_B.
color	Whether to color edges according to which graph(s) they are in.
linetype	Whether to set edge line types according to which graph(s) they are in.
...	additional parameters passed to either the igraph plot function or the Matrix image function.
col.regions	NULL for default colors, otherwise see image-methods
at	NULL for default at values for at (ensures zero is grey), otherwise see image-methods
colorkey	NULL for default colorkey, otherwise see image-methods

Details

Grey edges/pixels indicate common edges, blue indicates edges only in graph A and red represents edges only graph B. The corresponding linetypes are solid, long dash, and short dash.

The plots can be recreated from the output with the code
plot(g)
for g <- match_plot_igraph(...) and
col <- colorRampPalette(c("#AA4444", "#888888", "#44AA44"))
image(m, col.regions = col(256))
for m <- match_plot_match(...).

This only plots and returns the matched vertices.

Value

Both functions return values invisibly. match_plot_igraph returns the union of the matched graphs as an igraph object with additional edge attributes edge_match, color, lty. match_plot_matrix returns the difference between the matched graphs.

Examples

set.seed(123)
graphs <- sample_correlated_gnp_pair(20, .9, .3)
A <- graphs$graph1
B <- graphs$graph2
res <- gm(A, B, 1:4, method = "percolation")

plot(A, B, res)
plot(A[], B[], res)

dpmcsuss/iGraphMatch documentation built on May 22, 2024, 8:52 p.m.