Dear graph-tool users,
I have decided to migrate this list to the discourse forum at:
https://forum.skewed.de/c/graph-tool
Discourse allows for web forums to work similarly to mailing lists, and
many people nowadays consider them more friendly.
All subscribed users to this list are now “staged users” of the
discourse forum. This means that their identity can be claimed simply by
creating an account with the same mail.
Staged users do not have to create an account. They can post directly to
the category by email via graph-tool(a)skewed.de. Replies will also be
sent via email, which users can also reply via email — thus mimicking
how a mailing list works.
This is the same for all users, regardless if they are staged or not.
Users can disable emails at any time if they so wish.
IMPORTANT: Staged users will not receive email notifications for new
topics posted by other users. If you wish this, then you need to open an
account. Likewise, normal users need to “watch” the category to receive
such notifications.
In summary, if you do not create an account in the website you will
cease to receive further notifications, until someone replies to one of
your posts.
(Emailing to the old mailing list has been disabled; all messages posted
to graph-tool(a)skewed.de will henceforth come to discourse automatically.
The mailing list archives are still available, but have been mirrored
there in full.)
Best,
Tiago
--
Tiago de Paula Peixoto <tiago(a)skewed.de>
Dear graph-tool users,
There is now an official discourse forum for graph-tool available at:
https://forum.skewed.de/c/graph-tool
This mailing list is going to remain active — nothing will change, but
many people nowadays prefer such web discussions over mailing lists.
The link to both the mailing list and forum is now available in the
project's webpage.
Feel free to use what you prefer.
Best,
Tiago
--
Tiago de Paula Peixoto <tiago(a)skewed.de>
Hi,
I am aware of a post asking for the same topic, but it was dated 2 years
ago, but I wonder if there was any development on this front?
In the function "model.minimize_nested_blockmodel_dl" it is possible to
specify B_min=G and B_max=G in order to get exactly G blocks for the whole
clustering. I wonder if it is possible to specify separately the number of
blocks on each side of the bi-partite network, say G1 for one side of the
network and G2 for the other side? Even maybe by running 2 different
estimations?
I also noticed that Tzu-Chi Yen has an alternative code for this, but I
wonder how comparable it is to graph-tool in terms of efficiency?
Code: https://github.com/junipertcy/bipartiteSBM Related doc:
https://docs.netscied.tw/bipartiteSBM/usage/explore-consistency.html
Thank you all!
