Hi everyone! I recently started using the R language and the igraph package. I
use these tools to create a directed graph with edge weight attribute
containing about 1.2 million vertices and 5 million edges. Creating this kind
of graph is easy and really fast. But after I start the community detection on
this graph the Rgui always freezes out after about 2 or 3 hours and never
returns with the results. The command what I use is this: clust =
groups(cluster_label_prop(g, weights=E(g)$weight)) or clust =
cluster_label_prop(g, weights=E(g)$weight) I tried other comm. det. methods
such as walktrap, spinglass or mapinfo but there were the same results. The
computer I'm using has: - win7 64bit- 12 Gbyte RAM- 3.2.3 R 64bit- 1.0.1
igraph When I use the the mentioned command on a directed graph with edge
weight attribute containing about 50.000 vertices and 2 million edges the comm.
det. returns with the results after few minutes. My question is: can somebody
gime me an advice about what
i should do to make the comm. det. runable and faster?Thx for your answers!
Best regards,Adam Ps.: Sorry for my english, unfortunatelly I don't have to
use it often and I'm not a native speaker
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