pyemma.msm.estimation.is_connected

pyemma.msm.estimation.is_connected(C, directed=True)

Check connectivity of the given matrix.

Parameters:

• C (scipy.sparse matrix) – Count matrix specifying edge weights.
• directed (bool, optional) – Whether to compute connected components for a directed or undirected graph. Default is True.

Returns:

is_connected – True if C is connected, False otherwise.

Return type:

bool

See also

largest_connected_submatrix()

Notes

A count matrix is connected if the graph having the count matrix as adjacency matrix has a single connected component. Connectivity of a graph can be efficiently checked using Tarjan’s algorithm.

References

[1]	Tarjan, R E. 1972. Depth-first search and linear graph algorithms. SIAM Journal on Computing 1 (2): 146-160.

Examples

>>> from pyemma.msm.estimation import is_connected

>>> C = np.array([10, 1, 0], [2, 0, 3], [0, 0, 4]])
>>> is_connected(C)
False

>>> is_connected(C)
True