networkx.generators.degree_seq.random_degree_sequence_graph¶

random_degree_sequence_graph
(sequence, seed=None, tries=10)[source]¶ Returns a simple random graph with the given degree sequence.
If the maximum degree \(d_m\) in the sequence is \(O(m^{1/4})\) then the algorithm produces almost uniform random graphs in \(O(m d_m)\) time where \(m\) is the number of edges.
Parameters:  sequence (list of integers) – Sequence of degrees
 seed (integer, random_state, or None (default)) – Indicator of random number generation state. See Randomness.
 tries (int, optional) – Maximum number of tries to create a graph
Returns: G – A graph with the specified degree sequence. Nodes are labeled starting at 0 with an index corresponding to the position in the sequence.
Return type: Raises: NetworkXUnfeasible
– If the degree sequence is not graphical.NetworkXError
– If a graph is not produced in specified number of tries
See also
is_graphical()
,configuration_model()
Notes
The generator algorithm [1] is not guaranteed to produce a graph.
References
[1] Moshen Bayati, Jeong Han Kim, and Amin Saberi, A sequential algorithm for generating random graphs. Algorithmica, Volume 58, Number 4, 860910, DOI: 10.1007/s0045300993401 Examples
>>> sequence = [1, 2, 2, 3] >>> G = nx.random_degree_sequence_graph(sequence) >>> sorted(d for n, d in G.degree()) [1, 2, 2, 3]