# A Stochastic Approach to Generalized Modularity Based Community Detection

## TL;DR

This paper compares a new stochastic method for finding communities in networks to traditional methods and shows it performs better.

## Contribution

The paper introduces a stochastic approach that improves community detection in networks using generalized modularity.

## Key findings

- The stochastic approach outperforms standard modularity methods in community detection.
- Comparisons of means and distributions support the effectiveness of the new approach.

## Abstract

We study a stochastic approach to generalized modularity-based community detection by comparing two variants of the aforementioned approach to the standard modularity-based approach. In particular, we compare means and distributions. We also confirm that the stochastic approach can outperform standard modularity approaches.