then remove the vertices that correspond to communities that are small
Does the vertices' weight in the contracted graph indicate the size of
the communities used to contract the graph? If not how can I practically
find and "remove the vertices that correspond to communities that are
small" in the contracted graph?
Il 24.11.2013 22:28 Gábor Csárdi ha scritto:
On Sun, Nov 24, 2013 at 5:03 PM, <[email protected]> wrote:
I want to plot a community graph but after removing the smallest
communities.
Since I already have the "communities" object from the original
(entire)
graph, I hope I can use it to filter the subgraph (without running the
community detection algorithm again on the subgraph). But of course it
could
be easier to run the algorithm again.
What does it mean to filter the subgraph? Isn't that already filtered?
This is the work-flow I thought to apply (but of course it could be
totally
wrong):
graph -> fastgreedy.community(graph) -> communities ->
induced.subgraph(graph's members of communities>20)
-> subgraph -> contract.vertices(based on membership) ->
large_communities_graph -> plot(large_communities_graph)
Yes, you can either do this, and create the community graph from the
subgraph. Just do membership(communities) to get the membership vector
and filter that the same way you filter the subgraph.
Or, alternatively, you can do what I suggested in my first email,
create the community graph first, and then remove the vertices that
correspond to communities that are small.
Gabor
Il 24.11.2013 21:52 Gábor Csárdi ha scritto:
I am missing something. So you want to remove vertices from the
community graph, or from the original graph?
G.
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