dot-adj_eigen_left_norm: Spectral Decomposition of (Left) Normalized Adjacency Matrix

Description Usage Arguments Details Value

Description

Spectral Decomposition of (Left) Normalized Adjacency Matrix

Usage

1
.adj_eigen_left_norm(x, k, check_dang, check_sym, set_diag_zero)

Arguments

x

sparse affiliation matrix

k

number of (largest) eigenpairs to extract

check_dang

check whether there are dangling nodes

check_sym

check whether x is symmetric

set_diag_zero

if true, sets the diagonals of x to zero

Details

the (left) normalized adjacency matrix is defined as A' = D^{-1}A, where D is the diagonal matrix containing the degrees of A.

Value

returns the k (largest) eigenvalue-eigen vector pairs of the (left) normalized adjacency matrix


baruuum/btoolbox documentation built on Aug. 17, 2020, 1:29 a.m.