Hi, Tamas! First of all, thank you for your answer, it is very useful.After
your message I tried to recreate your result so I made two Erdos-Renyi graph
(both with 1.2 million vertices and 5.1 million edges) but the first one was
directed and the second one was undirected. I made a label_prop clustering on
these graphs which method can handle directed graphs as well. In the first case
the Rgui freezed out, but in the second case the community detection was done
in less than 5 minutes. So, it looks like the comm. det. algorithms can't
handle the big directed graphs. After this I wanted to try this experiment in a
Python enviroment and then another problem poped up. In Phyton, after
installing the igraph package I tried to import igraph and I got an error
message which advised me to use jgraph but in the jgraph package there are no
any graph methods or functions. Do you have any idea what is wrong with the
Python igraph package or what I should do to recreate the experiment in Pyth
on? I tried to install igraph from the source provided by Christoph Gohlke but
the same happened. - Phyton version: 3.5.1 Anaconda 2.4.1 (64-bit), MSC v1900
64-bit (AMD-64)- 16 Gbyte RAM- win10 64-bit- Igraph 0.1.11 Thx and best
regards,Adam
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