# Matched bipartite block model with covariates

arXiv: https://arxiv.org/abs/1703.04943 · HTML: https://mlsanity.com/paper/1703.04943/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Mar 2017.

## Built on by (most cited first, 1 of 1)

- [Directed mixed membership stochastic blockmodel](https://mlsanity.com/paper/2101.02307/) (2021)

## Abstract (arXiv)

Community detection or clustering is a fundamental task in the analysis of network data. Many real networks have a bipartite structure which makes community detection challenging. In this paper, we consider a model which allows for matched communities in the bipartite setting, in addition to node covariates with information about the matching. We derive a simple fast algorithm for fitting the model based on variational inference ideas and show its effectiveness on both simulated and real data. A variation of the model to allow for degree-correction is also considered, in addition to a novel approach to fitting such degree-corrected models.