5caf41d62364d5b41a893adc1a9dd5d4-Reviews.html

This paper proposes a new generative model and associated link inference method based on both node popularity and similarity. The starting point for the model is the prior work in [11] where the assortative mixed-membership stochastic blockmodel (AMMSB) was presented. In the prior model, link structure is generated via community strength (via a blockmodel) and community membership. In the new work, link structure is generated by using the prior model and adding "popularity" to the generative model. After the model is presented, the authors then derive an optimization criterion based upon a variational method (since exact inference is impossible).