938 citations · 4.4k across the 50 of their papers we have counts for
4 papers · 1 filter
A network approach to topic models
Martin Gerlach, Tiago P. Peixoto, Eduardo G. Altmann
One of the main computational and scientific challenges in the modern age is to extract useful information from unstructured texts. Topic models are one popular machine-learning ap…
Nonparametric weighted stochastic block models
Tiago P. Peixoto
We present a Bayesian formulation of weighted stochastic block models that can be used to infer the large-scale modular structure of weighted networks, including their hierarchical…
Bayesian stochastic blockmodeling
Tiago P. Peixoto
This chapter provides a self-contained introduction to the use of Bayesian inference to extract large-scale modular structures from network data, based on the stochastic blockmodel…
Consistencies and inconsistencies between model selection and link prediction in networks
Toni Vallès-Català, Tiago P. Peixoto, Roger Guimerà +1
A principled approach to understand network structures is to formulate generative models. Given a collection of models, however, an outstanding key task is to determine which one p…