Ideas for further work:

  - Visualize structure of Python programs (dependency, function call,
    data flow, module and class contents).

  - Use clustering (as in state-transition network visualization paper)
    to avoid line crossings.

  - Interactive aggregation (user double-clicks on a node to aggregate
    it with all of its neighbours).