Weighted degree computation fails (all values 0) when a filter is applied

[suthers]

If a filter is in effect when one computes "Avg. Weighted Degree" in the Statistics panel, all degrees are set to 0.0 for entities that pass the filter. (Previously computed weighted degrees for entities not passing the filter correctly are unaffected.)

Thus I cannot, for example, compute the weighted degree of a node within its modularity class. I am forced to use the global weights, computed without any filters in effect.

[suthers]

BTW this is a serious bug for us as we are doing a data analysis this week for a paper to be written next week and due June 15th and the weighted degrees represent level of activity of the actors being considered in the analysis. Due to this bug we cannot say how much an actor is active in each candidate community offered by the modularity partitioning, and will have to report this as a limitation of Gephi in the paper. A fast fix would be greatly appreciated!!!

[suthers]

Sorry for not noting this in the original post but further info:

• unweighted degrees are correctly computed when filters are applied,
• I verified the bug with weighted degree using a different partition filter (it is not just modularity classes) and using a degree range filter (it is not just partitions).
  Thanks -- Dan

[eduramiba]

Hi,
As a workaround while this is fixed, I think you could export your filtered graph to a new workspace and run stastistics there.

[suthers]

eduramiba, thanks for the suggestion. The problem is that I am working with 234 modularity classes and need the weighted degree computation for each of them. So I would have to export 234 graphs and reload each as a project. Not sure I can do this by the paper deadline of June 15th, let alone write the paper, if I take that approach!

[sheymann]

You may export the Node Table and Edge Table to compute the statistics in R. This is what I would do.

[mbastian]

Problem fixed. Thanks for the report hopefully you found a way for your paper. You may want to write a plugin to compute the avg degrees for all 234 partitions automatically.

[suthers]

Thanks Mathieu. We have another plugin project underway, to implement
the Ahn et al. link community algorithm (overlapping node
communities). The Blondel et al. algorithm in Gephi is good but
nonoverlapping. The popular Palla et al. clique percolation for
overlapping communities does not work on bipartite graphs!

--On July 7, 2012 4:45:28 PM -0700 Mathieu Bastian
reply@reply.github.com
wrote:

Problem fixed. Thanks for the report hopefully you found a way for
your paper. You may want to write a plugin to compute the avg
degrees for all 234 partitions automatically.

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Dan Suthers
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