On 16.06.2017 07:35, P-M wrote:

I am trying to run "get_edges_probs" for a large number of edges on a reasonably sized network. This would take too long to run on my local machine so I am considering sending it off to a cluster. Speaking to the admin I would need to split the job into several smaller jobs, each of which I can then run on a different node.

My question is thus: If I split my list of edges into, say, 50 separate lists and then set up 50 jobs, each of which processes one of these lists, am I able to compare the results of these jobs to each other by simply recombining the resulting set of loglikelihoods to then calculate my likelihood ratios as outlined in the cookbook? Or does the stochastic nature of the algorithm mean that I can't necessarily compare results from different runs to each other in this manner?

The edge probability does not factorize over the edges, so the product of the probability of the different lists will not be the same as the probability for the whole list. If the set of edges is much smaller than the total number, this could be true _approximately_, but it can introduce errors in your analysis. Best, Tiago -- Tiago de Paula Peixoto <tiago@skewed.de>