# GRM: Group Regularity Mobility Model

arXiv: https://arxiv.org/abs/1706.07908 · HTML: https://mlsanity.com/paper/1706.07908/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Jun 2017.

## Built on by (most cited first, 2 of 2)

- [Overcoming Bias in Community Detection Evaluation](https://mlsanity.com/paper/2102.03472/) (2021)
- [Understanding mobility in networks: A node embedding approach](https://mlsanity.com/paper/2111.06161/) (2021)

## Abstract (arXiv)

In this work we propose, implement, and evaluate GRM, a novel mobility model that accounts for the role of group meeting dynamics and regularity in human mobility. Specifically, we show that existing mobility models for humans do not capture the regularity of human group meetings which is present in real mobility traces. Next, we characterize the statistical properties of such group meetings in real mobility traces and design GRM accordingly. We show that GRM maintains the typical pairwise contact properties of real traces, such as contact duration and inter-contact time distributions. In addition, GRM accounts for the role of group mobility, presenting group meetings regularity and social communities' structure. Finally, we evaluate state-of-art social-aware protocols for opportunistic routing using a synthetic contact trace generated by our model. The results show that the behavior of such protocols in our model is similar to their behavior in real mobility traces.