kernighan_lin_bisection(G, partition=None, max_iter=10, weight='weight', seed=None)¶
Partition a graph into two blocks using the Kernighan–Lin algorithm.
This algorithm paritions a network into two sets by iteratively swapping pairs of nodes to reduce the edge cut between the two sets.
partition (tuple) – Pair of iterables containing an initial partition. If not specified, a random balanced partition is used.
max_iter (int) – Maximum number of times to attempt swaps to find an improvemement before giving up.
weight (key) – Edge data key to use as weight. If None, the weights are all set to one.
seed (integer, random_state, or None (default)) – Indicator of random number generation state. See Randomness. Only used if partition is None
partition – A pair of sets of nodes representing the bipartition.
- Return type
NetworkXError – If partition is not a valid partition of the nodes of the graph.
Kernighan, B. W.; Lin, Shen (1970). “An efficient heuristic procedure for partitioning graphs.” Bell Systems Technical Journal 49: 291–307. Oxford University Press 2011.