My research is focused on the development of maximum-entropy null-models for the analysis of complex networks. I have applied such a model on many different fields, as to the International Trade, to Online Social Networks, to biological systems and, just recently, to bibliometrics.
Here you can find some of my main findings and the latest publications.
D. Cirulli, A. Desiderio, G. Cimini, F. Saracco, “Polarization and echo chambers in Reddit’s political discourse”, arXiv:2510.27467
A. Bellina, D. R. Lo Sardo, E. Brugnoli, F. Saracco, P. Gravino, V. Loreto, G. Di Bona “Language bubbles in online social networks”, arXiv:2507.13068
G. Caldarelli, O. Artime, G. Fischetti, S. Guarino, A. Nowak, F. Saracco, P. Holme, M. de Domenico, “The Physics of News, Rumors, and Opinions”, Physics Reports, Volume 1186 (2026)
S. Guarino, A. Mounim, G. Caldarelli, F. Saracco, “Leveraging content producer networks and user perception to detect online discursive communities", Sci. Rep. (2026)
F. Mazza, G. Ricci, F. Colaiori, S. Guarino, S.Meloni, F. Saracco, “Impact of behavioral heterogeneity on epidemic outcome and its mapping into effective network topologies”, Phys. Rev. E 113, 014306 (2026)
L. Buffa, D. Mazzilli, R. Piombo, F. Saracco, G. Cimini, A.Patelli, “Maximum entropy modelling of sub-optimal transport”, Communications Physics volume 9, Article number: 39 (2026)
F. Saracco, G. Petri, R. Lambiotte, T. Squartini, “Entropy-based models to randomise real-world hypergraphs", Commun. Phys. 8, 284 (2025)
A. Gallo, F. Saracco, T. Squartini, “Statistically validated projection of bipartite signed networks”, npj Complex 2, 22 (2025)
Z. Neal, A. Cadieux, D. Garlaschelli, N. J. Gotelli, F. Saracco, T. Squartini, S. T. Shutters, W. Ulrich, G. Wang, G. Strona, “Pattern detection in bipartite networks: a review of terminology, applications and methods", PLOS Complex Systems 1(2): e0000010. (2024)
M. Pratelli, F. Saracco, M. Petrocchi, “Entropy-based detection of Twitter echo chambers", PNAS Nexus, Volume 3, Issue 5, May 2024, pgae177 (2024)
A. Gallo, D. Garlaschelli, R. Lambiotte, F. Saracco, T. Squartini, “Testing structural balance theories in heterogeneous signed networks", Communications Physics volume 7, Article number: 154 (2024)
M. Bruno, D. Mazzilli, A. Patelli, T. Squartini, F. Saracco, “Inferring comparative advantage via entropy maximization", Journal of Physics: Complexity 4.4 (2023): 045011.
A. Patuelli, F. Saracco, “Sustainable Development Goals as unifying narratives in large UK firms’ Twitter discussions", Scientific Reports volume 13, Article number: 7017 (2023)
M. Bernaschi, A. Celestini, S. Guarino, E. Mastrostefano, F. Saracco, “The Fitness-Corrected Block Model, or how to create maximum- entropy data-driven spatial social networks", Scientific Reports volume 12, Article number: 18206 (2022)
M. Mattei, M. Pratelli, G. Caldarelli, M. Petrocchi, F. Saracco, “Bow-Tie Structures of Twitter Discursive Communities", Scientific Reports volume 12, Article number: 12944 (2022)
N. Vallarano, M. Bruno, E. Marchese, G. Trapani, F. Saracco, T. Squartini, G. Cimini, M. Zanon, “Fast and scalable likelihood maximization for Exponential Random Graph Models", Scientific Reports volume 11, Article number: 15227 (2021)
G. Caldarelli, R. De Nicola, M. Petrocchi, M. Pratelli, F. Saracco, “Flow of online misinformation during the peak of the COVID-19 pandemic in Italy". EPJ Data Sci. 10, 34 (2021)
M. Bruno, F. Saracco, D. Garlaschelli, C. J. Tessone, G. Caldarelli, “The ambiguity of nestedness under soft and hard constraints", Scientific Reports 10, 19903 (2020)
C. Becatti, G. Caldarelli, R. Lambiotte and F. Saracco, “Extracting significant signal of news consumption from social networks: the case of Twitter in Italian political elections”, Palgrave Communications 5, 91 (2019)
G. Cimini, T. Squartini, F. Saracco, D. Garlaschelli, A. Gabrielli and G. Caldarelli, “The Statistical Physics of Real-World Networks”. Nature Reviews Physics 1(1), 58-71 (2019)
F. Saracco, M. J. Straka, R. Di Clemente, A. Gabrielli, G. Caldarelli, and T. Squartini, “Inferring monopartite projections of bipartite networks: an entropy-based approach”, New J. Phys. 19 053022 (2017)
F. Saracco, R. Di Clemente, A. Gabrielli, and T. Squartini, “Randomizing bipartite networks: the case of the World Trade Web,” Scientific Reports 5, 10595 (2015)