I have a large graph consisting of ~80k nodes and ~2M nodes (SNAP twitter graph). I want to downsample the graph with n number of nodes picked uniformly randomly (n=~1k), without losing certain properties of the graph (average clustering coefficient and average degree).
I can subgraph in networkx using:
sg = g.subgraph(list_of_nodes)
Is it possible to use networkx to do what I mentioned?
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