Parsimonious module inference in large networks

19 Dec 2012 Tiago P. Peixoto

We investigate the detectability of modules in large networks when the number of modules is not known in advance. We employ the minimum description length (MDL) principle which seeks to minimize the total amount of information required to describe the network, and avoid overfitting... (read more)

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Methods used in the Paper


METHOD TYPE
MDL
AutoML