Am 25.10.18 um 09:18 schrieb ashutosh:
My question is, after the graph partition has been done to find modules, does the partition algorithm considers the information from all the layers to generate a universal partition or it partitions each layer separately ?
There are several partition algorithms, so you would need to be more specific. Both multilayered versions (with edge layers and covariates) yield a single partition for the whole network. The overlapping versions yield partitions that can change across layers (as it labels the half-edges, instead of the nodes). But you can also partition the layers individually by treating them as separate graphs.
Also, if the tool partitions the network by considering the information from all layers then what edge information it stores finally, given that every layer had different edge information initially ?
The clustering algorithm does not change the edges, it only labels the nodes. It uses the information available in all layers to find the clusters. Best, Tiago -- Tiago de Paula Peixoto <tiago@skewed.de>