A lot of my research concern the study of higher-order interactions and networks property in complex systems.
To facilitate this kind of analysis, I contributed to the developement of two open-source software packages:
- HOI Toolbox, a toolbox for the analysis of higher-order interactions in
multivariate data, developed in collaboration with Etienne Combrisson, within the Brainets team.
- Phasik, a Python package for the identification of temporal
phases in temporal networks.
These packages are online toolboxes, based in python, that allows to reproduce the results obtained in my research.
When we developed these computational tools, we decided to follow a very simple framework that beyond being axcessible by naive python users,
also allows researcher with theoretical ideas within the field of information and graph theory to make them reality and use them to analyse real data.
This has the aim to make more robust and strengthen the field and more importantly to make the distance between ideas and their
realization shorter and shorter.
Publications
HOI: A Python toolbox for high-performance estimation of Higher-Order Interactions from multivariate data
Authors: Neri, Matteo; Vinchhi, Dishie; Ferreyra, Christian; Robiglio, Thomas; Ates, Onur; Ontivero-Ortega, Marlis; Brovelli, Andrea; Marinazzo, Daniele; Combrisson, Etienne — Journal of Open Source Software, 9 (103): 7360 — 2024
Phasik: a Python package to identify system states in partially temporal networks
Authors: Lucas, Maxime; Townsend-Teague, Alex; Neri, Matteo; Poetto, Simone; Morris, Arthur; Habermann, Bianca; Tichit, Laurent — Journal of Open Source Software, 8 (91): 5872 — 2023