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.
A. Gallo, F. Saracco, R. Lambiotte, D. Garlaschelli, T. Squartini, "Patterns of link reciprocity in directed, signed networks", arXiv:2407.08697
S. Guarino, A. Mounim, G. Caldarelli, F. Saracco, “Verified authors shape X/Twitter discursive communities", arXiv:2405.04896
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", arXiv:2310.01284
F. Saracco, G. Petri, R. Lambiotte, T. Squartini, “Entropy-based random models for hypergraphs", arXiv:2207.12123
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. Pratelli, M. Petrocchi, F. Saracco, R. De Nicola, “Online disinformation in the 2020 U.S. Election: swing vs. safe states", EPJ Data Sci. 13, 25 (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)
R. Dainelli, F. Saracco, “Bibliometric and social network analysis on the use of satellite imagery in agriculture: an entropy-based approach", Agronomy 2023, 13(2), 576 (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)
M. Bruno, R. Lambiotte, F. Saracco, “Brexit and bots: character- izing the behaviour of automated accounts on Twitter during the UK election", EPJ Data Sci. 11, 17 (2022)
M. Mattei, G. Caldarelli, T. Squartini, F. Saracco, “Italian Twitter semantic network during the Covid-19 epidemic", EPJ Data Sci. 10, 47 (2021)
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)
T. Radicioni, E. Pavan, T. Squartini, F. Saracco, “Analysing Twitter Semantic Networks: the case of 2018 Italian Elections", Scientific Reports volume 11, Article number: 13207 (2021)
M. Bardoscia, P. Barucca, S. Battiston, F. Caccioli, G. Cimini, D. Garlaschelli, F. Saracco, T. Squartini, G. Caldarelli, “The Physics of Financial Networks", Nature Reviews Physics volume 3, pages 490-507 (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,
“Detecting early signs of the 2007-2008 crisis in the world trade”, Scientific Reports volume 6, Article number: 30286 (2016)
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)