Network.laplacian¶

Network.laplacian(weight=None, reduced: bool = False, return_as: str = 'csr') → scipy.sparse.base.spmatrix[source]¶

Get the (weighted) Laplacian matrix L.

Parameters

weightfloat or np.ndarray, optional: If None, unit weight is assumed for all edges. If float, all edges have the same weight.
reducedbool, default=False: Whether to return the reduced form, i.e., without first row and first column.
return_asstr, default=’csr’: Return format for sparse matrix.

Returns

Lspmatrix: Laplacian matrix of shape (n, n) if reduced is False, else of shape (n-1, n-1). Type of return matrix is determined by parameter return_as.

References