A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs
A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs
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 particular example of the latent position model. The embedding associates each node with a vector; these vectors …