Beyond NetworkX, graphs and networks can be generated and analyzed with other software. One of the best open source multi-platform software that can be used for their analysis is named Gephi. It's a visual tool and it doesn't require programming skills. It's freely available at http://gephi.github.io.
As in machine learning datasets, even graphs have standard formats for their storing, loading, and exchanging. In this way, you can create a graph with NetworkX, dump it to a file and then load and analyze it with Gephi.
One of the most frequently used formats is Graph Modeling Language (GML). Now, let's see how to dump a graph to GML file:
In: dump_file_base = "dumped_graph" # Be sure the dump_file file doesn't exist def remove_file(filename): import os if os.path.exists(filename): os.remove(filename) In: G = nx.krackhardt_kite_graph() In: # GML format write and read GML_file = dump_file_base + '.gml' remove_file(GML_file) nx.write_gml(G, GML_file) G2...