I want to perform a centrality calculation :
g.V().repeat(groupCount('m').by('name').out()).times(5).cap('m')
using only a subset of edges:
g.E().has('some-property', 'some-value')
Unfortunately, the .subgraph()
step returns a dict in gremlin-python, so I can't use it to perform further traversals.
Is there another way to combine an edge-oriented traversal with a vertex-oriented one?
Just apply some filter to your edges:
g.V().
repeat(groupCount('m').
by('name').
outE().has(....).inV()).
times(5).
cap('m')
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