layout_tbl_graph_pmds function

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

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

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

Returns

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

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()

Author(s)

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