This documents the development version of NetworkX. Documentation for the current release can be found here.
planted_partition_graph(l, k, p_in, p_out, seed=None, directed=False)¶
Returns the planted l-partition graph.
This model partitions a graph with n=l*k vertices in l groups with k vertices each. Vertices of the same group are linked with a probability p_in, and vertices of different groups are linked with probability p_out.
Number of groups
Number of vertices in each group
probability of connecting vertices within a group
probability of connected vertices between groups
- seedinteger, random_state, or None (default)
Indicator of random number generation state. See Randomness.
- directedbool,optional (default=False)
If True return a directed graph
- GNetworkX Graph or DiGraph
planted l-partition graph
If p_in,p_out are not in [0,1] or
A. Condon, R.M. Karp, Algorithms for graph partitioning on the planted partition model, Random Struct. Algor. 18 (2001) 116-140.
Santo Fortunato ‘Community Detection in Graphs’ Physical Reports Volume 486, Issue 3-5 p. 75-174. https://arxiv.org/abs/0906.0612
>>> G = nx.planted_partition_graph(4, 3, 0.5, 0.1, seed=42)