Is there any documentation avaialbe for networkx ? I want to have an implementation of random graphs including watts and strogatz graph.
[EMAIL PROTECTED] wrote: > [EMAIL PROTECTED] wrote: > > Thanks for your quick reply. Since I have not read the documentation, I > > was wondering if you can generate random graph and analyze some > > peroperties of it like clustering coefficient or graph density. I am a > > graph theory student and want to use python for development. Somebody > > told me that Python has already so much bultin. Are there any > > visualization tool which would depict the random graph generated by the > > libraries. > > networkx has several random graph generators, including: > > barabasi_albert_graph > binomial_graph > erdos_renyi_graph > gnm_random_graph > gnp_random_graph > random_regular_graph > watts_strogatz_graph > > and others (e.g. via configuration_model) > > For drawing you can use pygraphviz (also available at > networkx.lanl.gov) > or the built-in drawing tools. > > e.g. > > >>> from networkx import * > >>> no_nodes=1000 > >>> for p in [ 0.1, 0.2, 0.3]: > >>> g = watts_strogatz_graph(no_nodes, 4, p) > >>> print density(g), average_clustering(g) > > be warned that drawing large random graphs are not overly insightful > > check the examples -- http://mail.python.org/mailman/listinfo/python-list
