layout_sparse_stress: sparse stress graph layout

In schochastics/smglr: Additional Layout Algorithms for Network Visualizations

sparse stress graph layout

Description

stress majorization for larger graphs based on a set of pivot nodes.

Usage

layout_with_sparse_stress(g, pivots, weights = NA, iter = 500)

layout_igraph_sparse_stress(g, pivots, weights = NA, iter = 500, circular)

Arguments

g	igraph object
pivots	number of pivots
weights	ignored
iter	number of iterations during stress optimization
circular	not used

Details

The layout_igraph_* function should not be used directly. It is only used as an argument for plotting with 'igraph'. 'ggraph' natively supports the layout.

Value

matrix of xy coordinates

Author(s)

David Schoch

References

Ortmann, M. and Klimenta, M. and Brandes, U. (2016). A Sparse Stress Model. https://arxiv.org/pdf/1608.08909.pdf

Examples

## Not run: 
library(igraph)
library(ggraph)

g <- sample_gnp(1000, 0.005)

ggraph(g, layout = "sparse_stress", pivots = 100) +
    geom_edge_link0(edge_colour = "grey66") +
    geom_node_point(shape = 21, fill = "grey25", size = 5) +
    theme_graph()

## End(Not run)

schochastics/smglr documentation built on March 13, 2024, 4:14 a.m.