Dear Dr. Tiago Peixoto, I have a question regarding weighted graphs. I would like to classify a network with weighted edges into groups taking into account these weights. I have used minimize_blockmodel_dl and minimize_nested_blockmodel_dl before but I don't know exactly how to implement these functions in a weighted network. I'm not sure if I have to use the layered version, but in this case I don't know how to get these layers from my network. Thank you very much and sorry for the basic question, Andrea
On 15.11.2016 18:17, Andrea Briega wrote:
Dear Dr. Tiago Peixoto,
I have a question regarding weighted graphs. I would like to classify a network with weighted edges into groups taking into account these weights. I have used minimize_blockmodel_dl and minimize_nested_blockmodel_dl before but I don't know exactly how to implement these functions in a weighted network. I'm not sure if I have to use the layered version, but in this case I don't know how to get these layers from my network.
Are the edge weights integers or real? -- Tiago de Paula Peixoto <tiago@skewed.de>
The edge's weights are integers 2016-11-15 18:17 GMT+01:00 Andrea Briega <annbrial@gmail.com>:
Dear Dr. Tiago Peixoto,
I have a question regarding weighted graphs. I would like to classify a network with weighted edges into groups taking into account these weights. I have used minimize_blockmodel_dl and minimize_nested_blockmodel_dl before but I don't know exactly how to implement these functions in a weighted network. I'm not sure if I have to use the layered version, but in this case I don't know how to get these layers from my network.
Thank you very much and sorry for the basic question,
Andrea
On 15.11.2016 19:24, Andrea Briega wrote:
The edge's weights are integers
In this case, you should just pass the property map with the weights as the "eweight" parameter, e.g. state = minimize_nested_blockmodel_dl(g,state_args=dict(eweight=weights)) Best, Tiago
2016-11-15 18:17 GMT+01:00 Andrea Briega <annbrial@gmail.com <mailto:annbrial@gmail.com>>:
Dear Dr. Tiago Peixoto,
I have a question regarding weighted graphs. I would like to classify a network with weighted edges into groups taking into account these weights. I have used minimize_blockmodel_dl and minimize_nested_blockmodel_dl before but I don't know exactly how to implement these functions in a weighted network. I'm not sure if I have to use the layered version, but in this case I don't know how to get these layers from my network.
Thank you very much and sorry for the basic question,
Andrea
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-- Tiago de Paula Peixoto <tiago@skewed.de>
I hadn't found that option, it's much easier than I thought. Thank you very much! 2016-11-15 19:24 GMT+01:00 Andrea Briega <annbrial@gmail.com>:
The edge's weights are integers
2016-11-15 18:17 GMT+01:00 Andrea Briega <annbrial@gmail.com>:
Dear Dr. Tiago Peixoto,
I have a question regarding weighted graphs. I would like to classify a network with weighted edges into groups taking into account these weights. I have used minimize_blockmodel_dl and minimize_nested_blockmodel_dl before but I don't know exactly how to implement these functions in a weighted network. I'm not sure if I have to use the layered version, but in this case I don't know how to get these layers from my network.
Thank you very much and sorry for the basic question,
Andrea
How do you fit a (nested) blockmodel if the edge weights are real? On Wed, 16 Nov 2016 at 06:55 Andrea Briega <annbrial@gmail.com> wrote:
I hadn't found that option, it's much easier than I thought. Thank you very much!
2016-11-15 19:24 GMT+01:00 Andrea Briega <annbrial@gmail.com>:
The edge's weights are integers
2016-11-15 18:17 GMT+01:00 Andrea Briega <annbrial@gmail.com>:
Dear Dr. Tiago Peixoto,
I have a question regarding weighted graphs. I would like to classify a network with weighted edges into groups taking into account these weights. I have used minimize_blockmodel_dl and minimize_nested_blockmodel_dl before but I don't know exactly how to implement these functions in a weighted network. I'm not sure if I have to use the layered version, but in this case I don't know how to get these layers from my network.
Thank you very much and sorry for the basic question,
Andrea
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participants (3)
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Andrea Briega -
Peter Straka -
Tiago de Paula Peixoto