We present a method to estimate block membership of nodes in a random graph generated by a stochastic blockmodel. We use an embedding procedure motivated by the random dot product graph model, a ...

Spectral clustering is quite complex, but it can reveal patterns in data that aren't revealed by other clustering techniques. Data clustering is the process of grouping data items so that similar ...

In clustering studies of these graphs and their variants, the modularity functional is often used to assess the quality of the clustering obtained [5, 24]. In these contexts, it is a natural question ...