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_centrality,
layout_tbl_graph_circlepack,
layout_tbl_graph_dendrogram,
layout_tbl_graph_fabric,
layout_tbl_graph_focus,
layout_tbl_graph_hive,
layout_tbl_graph_igraph,
layout_tbl_graph_linear,
layout_tbl_graph_manual,
layout_tbl_graph_matrix,
layout_tbl_graph_partition,
layout_tbl_graph_pmds,
layout_tbl_graph_stress,
layout_tbl_graph_treemap,
layout_tbl_graph_unrooted