[graph-tool] local dynamical probabilities without graph knowledge

j_nets mr.joeyob at gmail.com
Tue Nov 17 20:40:12 CET 2020


Dear Tiago,

Thanks you very much for taking the time to reply. I have had joy in
implementing the Bayesian inference framework for empirical cascades (on
Windows via WSL!), I have one small query which I cannot find an answer for
in the documentation. Namely, if I implement similar to the example in the
cookbook in my own case the final graph object obtained has a number of edge
properties including the eprob, but it also has another property 'x' - is
this the inferred transmission probabilities for each edge? I have so far
been collecting the probabilities via the 'get_x()' approach described in
the cookbook during the MCMC sweep however the final such call results in an
array of length apparently (?) unrelated to the final graph object. Any
guidance would be greatly appreciated. 



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