We describe techniques for the robust detection of community structure in some classes of
time-dependent networks. Specifically, we consider the use of statistical null models for
facilitating the principled identification of structural modules in semi-decomposable systems.
Null models play an important role both in the optimization of quality functions such as
modularity and in the subsequent assessment of the statistical validity of identified
community structure. We examine the sensitivity of such methods to model parameters and …