I'm working on a project in which I have a large graph, and I want to break it into clusters of nodes. Connected components turned out to be too loose a restriction, so I want to impose a diameter bound on the components as well (i.e. any two nodes in the same component are < d edges apart). Do there exist practical algorithms to do this efficiently? I considered a modified BFS, but ideally, the algorithm should give the same result independent of the node ordering.
2026-03-25 06:26:42.1774420002
What algorithms are there to partition graphs into bounded-diameter sets?
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Two such community detection algorithms are Louvain and label propagation. For any resulting community that exceeds the diameter threshold, you can recursively apply either algorithm as needed.