networkx.generators.community.planted_partition_graph¶

planted_partition_graph
(l, k, p_in, p_out, seed=None, directed=False)[source]¶ Returns the planted lpartition 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.
 Parameters
l (int) – Number of groups
k (int) – Number of vertices in each group
p_in (float) – probability of connecting vertices within a group
p_out (float) – probability of connected vertices between groups
seed (integer, random_state, or None (default)) – Indicator of random number generation state. See Randomness.
directed (bool,optional (default=False)) – If True return a directed graph
 Returns
G – planted lpartition graph
 Return type
NetworkX Graph or DiGraph
 Raises
NetworkXError – If p_in,p_out are not in [0,1] or
Examples
>>> G = nx.planted_partition_graph(4, 3, 0.5, 0.1, seed=42)
See also
random_partition_model()
References
 1
A. Condon, R.M. Karp, Algorithms for graph partitioning on the planted partition model, Random Struct. Algor. 18 (2001) 116140.
 2
Santo Fortunato ‘Community Detection in Graphs’ Physical Reports Volume 486, Issue 35 p. 75174. https://arxiv.org/abs/0906.0612