networkx.algorithms.mis.maximal_independent_set¶

maximal_independent_set
(G, nodes=None, seed=None)[source]¶ Returns a random maximal independent set guaranteed to contain a given set of nodes.
An independent set is a set of nodes such that the subgraph of G induced by these nodes contains no edges. A maximal independent set is an independent set such that it is not possible to add a new node and still get an independent set.
Parameters:  G (NetworkX graph)
 nodes (list or iterable) – Nodes that must be part of the independent set. This set of nodes must be independent.
 seed (integer, random_state, or None (default)) – Indicator of random number generation state. See Randomness.
Returns: indep_nodes – List of nodes that are part of a maximal independent set.
Return type: list
Raises: NetworkXUnfeasible
– If the nodes in the provided list are not part of the graph or do not form an independent set, an exception is raised.NetworkXNotImplemented
– IfG
is directed.
Examples
>>> G = nx.path_graph(5) >>> nx.maximal_independent_set(G) # doctest: +SKIP [4, 0, 2] >>> nx.maximal_independent_set(G, [1]) # doctest: +SKIP [1, 3]
Notes
This algorithm does not solve the maximum independent set problem.