Arsham Ghavasieh
Physics and Astronomy · Indiana University
Publications
33
Citations
325
Est. group size
—
Recurring co-author estimate
Active years
7
Publishing since 2020
Arsham Ghavasieh studies complex networks using tools from statistical physics, developing mathematical methods to understand how information flows through interconnected systems and how such systems can be simplified or analyzed at multiple scales. This work is applied to a range of real-world systems, including brain connectivity, biological interaction networks (such as virus-host protein networks), and artificial neural networks. The research blends theoretical physics with data analysis and machine learning.
Publication activity peaked around 2020-2021 and has settled to a steadier, lower pace of a few papers per year since.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Reducibility of higher-order networks from dynamics
Nature Communications · 2026
- Influence of the reinsertion algorithm on the performance of the Vertex Entanglement method
Communications Physics · 2026
- Coarse-graining network flow through statistical physics and machine learning
Nature Communications · 2025
- Tuning Universality in Deep Neural Networks
arXiv (Cornell University) · 2025
- Diversity of information pathways drives sparsity in real-world networks
Nature Physics · 2024
- Maximum entropy network states for coalescence processes
Physica A Statistical Mechanics and its Applications · 2024
- Reducibility of higher-order networks from dynamics
Repository of the University of Namur · 2024
- CONTINUOUS SCORING OF AUTISM SPECTRUM DISORDER PATIENTS BY ANALYZING THEIR EEG SIGNALS
Biomedical Engineering Applications Basis and Communications · 2024
- Generalized network density matrices for analysis of multiscale functional diversity
Physical review. E · 2023
- Dismantling the information flow in complex interconnected systems
Physical Review Research · 2023
- Diversity of information pathways drives scaling and sparsity in real-world networks
arXiv (Cornell University) · 2023
- Network Information Dynamics Renormalization Group
Research Square · 2023
- Multilayer Network Science
Cambridge University Press eBooks · 2022
- Dismantling the information flow in complex interconnected systems
arXiv (Cornell University) · 2022
- Generalized network density matrices for analysis of multiscale functional diversity
arXiv (Cornell University) · 2022
- Figshare×7
- arXiv (Cornell University)×6
- Communications Physics×3
- Physical review. E×2
- Nature Communications×2
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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