# Community detection in network neuroscience

arXiv: https://arxiv.org/abs/2011.06723 · HTML: https://mlsanity.com/paper/2011.06723/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Nov 2020.

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

- [Dynamics of specialization in neural modules under resource constraints](https://mlsanity.com/paper/2106.02626/) (2021)

## Abstract (arXiv)

Many real-world networks, including nervous systems, exhibit meso-scale structure. This means that their elements can be grouped into meaningful sub-networks. In general, these sub-networks are unknown ahead of time and must be "discovered" algorithmically using community detection methods. In this article, we review evidence that nervous systems exhibit meso-scale structure in the form of communities, clusters, and modules. We also provide a set of guidelines to assist users in applying community detection methods to their own network data. These guidelines focus on the method of modularity maximization but, in many cases, are general and applicable to other techniques.