Eigenvalues and eigenvectors of the adjacency matrix of a graph
Source:R/centrality.R
graph.eigen.Rd
graph.eigen()
was renamed to spectrum()
to create a more
consistent API.
Usage
graph.eigen(
graph,
algorithm = c("arpack", "auto", "lapack", "comp_auto", "comp_lapack", "comp_arpack"),
which = list(),
options = arpack_defaults()
)
Arguments
- graph
The input graph, can be directed or undirected.
- algorithm
The algorithm to use. Currently only
arpack
is implemented, which uses the ARPACK solver. See alsoarpack()
.- which
A list to specify which eigenvalues and eigenvectors to calculate. By default the leading (i.e. largest magnitude) eigenvalue and the corresponding eigenvector is calculated.
- options
Options for the ARPACK solver. See
arpack_defaults()
.