networkx.linalg.laplacianmatrix.laplacian_matrix¶

laplacian_matrix
(G, nodelist=None, weight='weight')[source]¶ Returns the Laplacian matrix of G.
The graph Laplacian is the matrix L = D  A, where A is the adjacency matrix and D is the diagonal matrix of node degrees.
 Parameters
G (graph) – A NetworkX graph
nodelist (list, optional) – The rows and columns are ordered according to the nodes in nodelist. If nodelist is None, then the ordering is produced by G.nodes().
weight (string or None, optional (default=’weight’)) – The edge data key used to compute each value in the matrix. If None, then each edge has weight 1.
 Returns
L – The Laplacian matrix of G.
 Return type
SciPy sparse matrix
Notes
For MultiGraph/MultiDiGraph, the edges weights are summed.
See also
to_numpy_array()
,normalized_laplacian_matrix()
,laplacian_spectrum()