Warning
This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.
gn_graph¶
- gn_graph(n, kernel=None, create_using=None, seed=None)[source]¶
Return the GN digraph with n nodes.
The GN (growing network) graph is built by adding nodes one at a time with a link to one previously added node. The target node for the link is chosen with probability based on degree. The default attachment kernel is a linear function of degree.
The graph is always a (directed) tree.
Parameters : n : int
The number of nodes for the generated graph.
kernel : function
The attachment kernel.
create_using : graph, optional (default DiGraph)
Return graph of this type. The instance will be cleared.
seed : hashable object, optional
The seed for the random number generator.
References
[R285] P. L. Krapivsky and S. Redner, Organization of Growing Random Networks, Phys. Rev. E, 63, 066123, 2001. Examples
>>> D=nx.gn_graph(10) # the GN graph >>> G=D.to_undirected() # the undirected version
To specify an attachment kernel use the kernel keyword
>>> D=nx.gn_graph(10,kernel=lambda x:x**1.5) # A_k=k^1.5