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35 changes: 35 additions & 0 deletions src/sage/graphs/generic_graph.py
Original file line number Diff line number Diff line change
Expand Up @@ -15745,6 +15745,41 @@ def distance_all_pairs(self, by_weight=False, algorithm=None,
algorithm=algorithm,
weight_function=weight_function,
check_weight=check_weight)[0]

def power(self, k):
r"""
Compute the kth power graph of an undirected, unweighted graph based on
shortest distances between nodes using BFS.

INPUT:
- graph: An undirected, unweighted graph.
- k: The maximum path length for considering edges in the power graph.

OUTPUT:
- The kth power graph based on shortest distances between nodes.

EXAMPLE:

sage: G = Graph([(0, 1), (1, 2), (2, 3), (3, 0), (2, 4), (4, 5)])
sage: k = 2
sage: PG = G.power(k)
sage: PG.edges()
[(0, 1), (0, 2), (0, 3), (0, 4), (1, 0), (1, 2), (1, 3), (1, 4), (2, 0), (2, 1), (2, 3), (2, 4), (3, 0), (3, 1), (3, 2), (3, 4), (4, 0), (4, 1), (4, 2), (4, 3), (5, 4), (4, 5)]

sage: G = DiGraph([(0, 1), (1, 2), (2, 3), (3, 0), (2, 4), (4, 5)])
sage: k = 3
sage: PG = g.power(k)
sage: PG.edges()
[(0, 1, None), (0, 2, None), (0, 3, None), (0, 4, None), (1, 0, None), (1, 2, None), (1, 3, None), (1, 4, None), (1, 5, None), (2, 0, None), (2, 1, None), (2, 3, None), (2, 4, None), (2, 5, None), (3, 0, None), (3, 1, None), (3, 2, None), (4, 5, None)]

"""
power_of_graph = self.copy()
for u in self:
for v in self.breadth_first_search(u, distance=k):
if u != v:
power_of_graph.add_edge(u, v)

return power_of_graph

def girth(self, certificate=False):
"""
Expand Down