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is_aperiodic(G)

A directed graph is aperiodic if there is no integer k > 1 that divides the length of every cycle in the graph.

Notes

This uses the method outlined in , which runs in $O(m)$ time given $m$ edges in G. Note that a graph is not aperiodic if it is acyclic as every integer trivial divides length 0 cycles.

Parameters

G : NetworkX DiGraph

A directed graph

Raises

NetworkXError

If G is not directed

Returns

bool

True if the graph is aperiodic False otherwise

Returns True if G is aperiodic.

Examples

>>> DG = nx.DiGraph([(1, 2), (2, 1)])
>>> nx.is_aperiodic(DG)
False
>>> DG = nx.DiGraph([(1, 2), (2, 3), (3, 1), (1, 4), (4, 1)])
>>> nx.is_aperiodic(DG)
True
>>> DG = nx.DiGraph([(1, 2), (2, 1), (3, 4), (4, 5), (5, 6), (6, 3)])
>>> nx.is_aperiodic(DG)
False
>>> DG = nx.DiGraph([(1, 2), (2, 3)])
>>> nx.is_aperiodic(DG)
False
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

networkx.generators.lattice.grid_2d_graph networkx.generators.lattice.grid_graph

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

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GitHub : /networkx/algorithms/dag.py#513
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