Follow
Matteo Bruno
Matteo Bruno
Sony CSL Rome
Verified email at sony.com
Title
Cited by
Cited by
Year
Fast and scalable likelihood maximization for exponential random graph models with local constraints
N Vallarano, M Bruno, E Marchese, G Trapani, F Saracco, G Cimini, ...
Scientific Reports 11 (1), 15227, 2021
432021
Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election
M Bruno, R Lambiotte, F Saracco
EPJ Data Science 11 (1), 17, 2022
342022
The ambiguity of nestedness under soft and hard constraints
M Bruno, F Saracco, D Garlaschelli, CJ Tessone, G Caldarelli
Scientific reports 10 (1), 19903, 2020
282020
Colombian export capabilities: building the firms-products network
M Bruno, F Saracco, T Squartini, M Dueñas
Entropy 20 (10), 785, 2018
202018
Urban economic fitness and complexity from patent data
M Straccamore, M Bruno, B Monechi, V Loreto
Scientific Reports 13 (1), 3655, 2023
122023
A universal framework for inclusive 15-minute cities
M Bruno, HP Monteiro Melo, B Campanelli, V Loreto
Nature Cities 1 (10), 633-641, 2024
72024
Inferring comparative advantage via entropy maximization
M Bruno, D Mazzilli, A Patelli, T Squartini, F Saracco
J. Phys. Complex. 4 045011, 2023
72023
Community detection in the hyperbolic space
M Bruno, SF Sousa, F Gursoy, M Serafino, FV Vianello, A Vranić, ...
arXiv preprint arXiv:1906.09082, 2019
72019
Cities beyond proximity
D Hill, M Bruno, HPM Melo, Y Takeuchi, V Loreto
Philosophical Transactions A 382 (2285), 20240097, 2024
12024
Revealing the core-periphery structure of cities
F Fanelli, HPM Melo, M Bruno, V Loreto
arXiv preprint arXiv:2410.21133, 2024
2024
Compact 15-minute cities are greener
F Marzolla, M Bruno, HPM Melo, V Loreto
arXiv preprint arXiv:2409.01817, 2024
2024
Maximum entropy methods for the statistical analysis of bipartite networks: fast computation and applications
M Bruno
IMT School for Advanced Studies Lucca, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–12