BIO

Luca Gallo is a physicist interested in exploring how networks shape social phenomena such as the circulation of ideas and behaviors, segregation, and inequality. He holds a PhD in complex systems from the Doctoral School of Complex Systems for Physical, Socio-economic and Life Sciences, University of Catania, Italy since 2022. In his thesis he analyzed how group interactions affect the collective behavior of coupled dynamical systems. He is a postdoctoral research fellow at the ANETI Lab at the Corvinus University of Budapest in Hungary, where he studies the diffusion of scientific knowledge and gender inequalities in research. He has published in leading interdisciplinary journals including Nature Communications and Science Advances.

PUBLICATIONS

L Betti, L Gallo, J Wachs, F Battiston (2025) The dynamics of leadership and success in software development teams. Nature Communications, 16: 3956.
F Malizia, L Gallo, M Frasca, I Z Kiss, V Latora, G Russo (2025) A pair-based approximation for simplicial contagion. Chaos, Solitons & Fractals, 199(3): 116776.
L Gallo, L Lacasa, V Latora, F Battiston (2024) Higher-order correlations reveal complex memory in temporal graphs. Nature Communications, 15: 4754.
J F De Kemmeter, L Gallo, F Boncoraglio, V Latora, T Carletti (2024) Complex contagion in social systems with distrust. Advances in Complex Systems.
Q F Lotito, M Contisciani, C De Bacco, L Di Gaetano, L Gallo, A Montresor, A Musciotto, N Ruggeri, F Battiston (2023) Hypergraphx: a library for higher-order network analysis. Journal of Complex Networks, 11(3): cnad019.
L Gallo, M Frasca, V Latora, G Russo (2022) Lack of practical identifiability may hamper reliable predictions in COVID-19 epidemic models. Science Advances, 8(3): eabg5234.
L V Gambuzza, F Di Patti, L Gallo, S Lepri, M Romance, R Criado, M Frasca, V Latora, S Boccaletti (2021) Stability of synchronization in simplicial complexes. Nature Communications, 12(1): 1-13.