neuler
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have a frame with intial graph metrics
That would be great for people to get a better understanding of their graph topology and to reason which algorithms make sense to run on it.
- apoc.degree.stats for all the relationships and directions -> distribution
- top 10 supernodes
- diameter
- average distance between any two nodes
- number and size of disconnected cluster
- apoc.meta.data
- number of orphan nodes
- core of a graph
http://pablobarbera.com/POIR613/code/16-networks-descriptive-analysis.html
(- motif frequency)
we could encapsulate all of that in a single procedure or run it from the UI (in parallel)

Maybe borrowing dataset stats from snap Stanford would make sense