pub type igraph_laplacian_normalization_t = c_uint;Expand description
\typedef igraph_laplacian_normalization_t \brief Normalization methods for a Laplacian matrix.
Normalization methods for \ref igraph_get_laplacian() and \ref igraph_get_laplacian_sparse(). In the following, \c A refers to the (possibly weighted) adjacency matrix and \c D is a diagonal matrix containing degrees (unweighted case) or strengths (weighted case). Out-, in- or total degrees are used according to the \p mode parameter.
\enumval IGRAPH_LAPLACIAN_UNNORMALIZED Unnormalized Laplacian, L = D - A.
\enumval IGRAPH_LAPLACIAN_SYMMETRIC Symmetrically normalized Laplacian, L = I - D^(-1/2) A D^(-1/2).
\enumval IGRAPH_LAPLACIAN_LEFT Left-stochastic normalized Laplacian, L = I - D^-1 A.
\enumval IGRAPH_LAPLACIAN_RIGHT Right-stochastic normalized Laplacian, L = I - A D^-1.