# Quantifying layer similarity in multiplex networks: a systematic study

arXiv: https://arxiv.org/abs/1711.11335 · HTML: https://mlsanity.com/paper/1711.11335/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Nov 2017.

## Built on by (most cited first, 5 of 5)

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- [A cost-based multi-layer network approach for the discovery of patient phenotypes](https://mlsanity.com/paper/2209.09032/) (2022)
- [Multimodal Coordinated Online Behavior: Trade-offs and Strategies](https://mlsanity.com/paper/2507.12108/) (2025)

## Abstract (arXiv)

Computing layer similarities is an important way of characterizing multiplex networks because various static properties and dynamic processes depend on the relationships between layers. We provide a taxonomy and experimental evaluation of approaches to compare layers in multiplex networks. Our taxonomy includes, systematizes and extends existing approaches, and is complemented by a set of practical guidelines on how to apply them.