This layout is based on the idea of spectral layouts where node coordinates are calculated directly by decomposing a matrix representation of the graph and extracting the eigenvectors.
layout_tbl_graph_eigen(
graph,
type = "laplacian",
eigenvector = "smallest",
circular = FALSE
)
A tbl_graph object
The type of matrix to extract the eigenvectors from. Either
'laplacian'
or 'adjacency'
The eigenvector to use for coordinates. Either 'smallest'
or 'largest'
ignored
A data.frame with the columns x
, y
, circular
as
well as any information stored as node variables in the tbl_graph object.
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_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_pmds()
,
layout_tbl_graph_sf()
,
layout_tbl_graph_stress()
,
layout_tbl_graph_treemap()
,
layout_tbl_graph_unrooted()