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Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

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networkx.generators.line.inverse_line_graph¶

inverse_line_graph(G)[source]¶

Returns the inverse line graph of graph G.

If H is a graph, and G is the line graph of H, such that H = L(G). Then H is the inverse line graph of G.

Not all graphs are line graphs and these do not have an inverse line graph. In these cases this generator returns a NetworkXError.

Parameters

G (graph) – A NetworkX Graph

Returns

H – The inverse line graph of G.

Return type

graph

Raises

NetworkXNotImplemented – If G is directed or a multigraph
NetworkXError – If G is not a line graph

Notes

This is an implementation of the Roussopoulos algorithm.

If G consists of multiple components, then the algorithm doesn’t work. You should invert every component seperately:

>>> K5 = nx.complete_graph(5)
>>> P4 = nx.Graph([("a", "b"), ("b", "c"), ("c", "d")])
>>> G = nx.union(K5, P4)
>>> root_graphs = []
>>> for comp in nx.connected_components(G):
...     root_graphs.append(nx.inverse_line_graph(G.subgraph(comp)))
>>> len(root_graphs)
2

References

Roussopolous, N, “A max {m, n} algorithm for determining the graph H from its line graph G”, Information Processing Letters 2, (1973), 108–112.