layout_tbl_graph_pmds {ggraph}

Place nodes based on a multidimensional scaling of a set of pivot nodes

Description

This layout is similar to the 'mds' layout but uses only a subset of pivot nodes for the mds calculation, making it considerably faster and thus suited for large graphs

Usage

layout_tbl_graph_pmds(graph, pivots, weights = NULL, circular = FALSE)

Arguments

graph

A tbl_graph object

pivots

The number of pivot nodes

weights

An expression evaluated on the edge data to provide edge weights for the layout. Currently ignored for the sparse version

circular

ignored

Value

A data.frame with the columns x, y, circular as well as any information stored as node variables in the tbl_graph object.

Author(s)

The underlying algorithm is implemented in the graphlayouts package by David Schoch

References

Brandes, U. and Pich, C. (2006). Eigensolver Methods for Progressive Multidimensional Scaling of Large Data. In International Symposium on Graph Drawing (pp. 42-53). Springer

See Also

Other layout_tbl_graph_*: layout_tbl_graph_auto(), layout_tbl_graph_backbone(), layout_tbl_graph_cactustree(), layout_tbl_graph_centrality(), layout_tbl_graph_circlepack(), layout_tbl_graph_dendrogram(), layout_tbl_graph_eigen(), layout_tbl_graph_fabric(), layout_tbl_graph_focus(), layout_tbl_graph_hive(), layout_tbl_graph_htree(), layout_tbl_graph_igraph(), layout_tbl_graph_linear(), layout_tbl_graph_manual(), layout_tbl_graph_matrix(), layout_tbl_graph_metro(), layout_tbl_graph_partition(), layout_tbl_graph_sf(), layout_tbl_graph_stress(), layout_tbl_graph_treemap(), layout_tbl_graph_unrooted()