deeptime.markov.tools.estimation.is_connected¶
- deeptime.markov.tools.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
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 [1].
References
Examples
>>> import numpy as np >>> from deeptime.markov.tools.estimation import is_connected
>>> C = np.array([[10, 1, 0], [2, 0, 3], [0, 0, 4]]) >>> is_connected(C) False
>>> is_connected(C, directed=False) True