A Q-analysis package for higher-order interactions analysis in Python and its application in network physiology
The developed package makes Q-analysis accessible to a broad research audience, facilitating the exploration of higher-order interactions in complex systems. The presented applications validate its utility across diverse domains, from social networks to neuroscience. By providing an open-source tool, this work bridges a gap in network science, enabling quantitative analysis of the intricate, multi-node structures that define real-world networks.
Authors
- Alexander E. Hramov (ORCID: https://orcid.org/0000-0003-2787-2530)
- Semen Kurkin (ORCID: https://orcid.org/0000-0002-3438-5717)
- Nikita Smirnov (ORCID: https://orcid.org/0000-0001-6955-830X)
Institutions
- Plekhanov Russian University of Economics (RU)
- Immanuel Kant Baltic Federal University (RU)
Publication Details
- Journal
- Frontiers in Network Physiology
- Published
- 2025-10-29
- DOI
- https://doi.org/10.3389/fnetp.2025.1691159
- Primary Topic
- Complex Network Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Russian Science Foundation