(self, includeSubPaths=True)
return I-T
Returns the transposed Laplacian matrix corresponding to the higher-order network.

        @param includeSubpaths: Whether or not subpath statistics shall be included in the 
            calculation of matrix weights
Returns the transposed Laplacian matrix corresponding to the higher-order network.
Returns the transposed Laplacian matrix corresponding to the higher - order network .
def getLaplacianMatrix(self, includeSubPaths=True):
        """
        Returns the transposed Laplacian matrix corresponding to the higher-order network.

        @param includeSubpaths: Whether or not subpath statistics shall be included in the 
            calculation of matrix weights
        """   
    
        T = self.getTransitionMatrix(includeSubPaths)
        I  = _sparse.identity( self.vcount() )

        return I-T
def getLaplacianMatrix ( self , includeSubPaths = True ) : T = self . getTransitionMatrix ( includeSubPaths ) I = _sparse . identity ( self . vcount ( ) ) return I - T