| Gravity models of networks: Integrating maximum-entropy and econometric approaches M Di Vece, D Garlaschelli, T Squartini Physical Review Research 4 (3), 033105, 2022 | 12 | 2022 |
| Reconciling econometrics with continuous maximum-entropy network models M Di Vece, D Garlaschelli, T Squartini Chaos, Solitons & Fractals 166, 112958, 2023 | 8 | 2023 |
| Commodity-specific triads in the Dutch inter-industry production network M Di Vece, FP Pijpers, D Garlaschelli Scientific Reports 14 (1), 3625, 2024 | 4 | 2024 |
| Deterministic, quenched, and annealed parameter estimation for heterogeneous network models M Di Vece, D Garlaschelli, T Squartini Physical Review E 108 (5), 054301, 2023 | 4 | 2023 |
| Triadic Pattern Detection on Inter-industry Production Networks: A Multi-commodity Analysis M Di Vece, D Garlaschelli, FP Pijpers Statistics Netherlands, 2024 | | 2024 |
| Ensemble Counterfactual Explanations for Churn Analysis S Tonati, M Di Vece, R Pellungrini, F Giannotti International Conference on Discovery Science, 332-347, 2024 | | 2024 |
| Gravity Models of Networks M Di Vece IMT Institute for Advanced Studies Lucca, 2024 | | 2024 |
| From Network Reconstruction to Network Econometrics: unbiased estimation of average effects M Di Vece, T Squartini, D Garlaschelli MDPI, 2021 | | 2021 |
| Emergence of correlations in highly biased Consensus Models in seed initial configuration M Di Vece, F Corberi Journal of Physics: Conference Series 1226 (1), 012026, 2019 | | 2019 |
| Pi pers, FP, & Garlaschelli, D.(2024) M Di Vece Commodit-specific triads in the Dutch inter-industr production network.,. doi 10, 0 | | |
| Gra it models of net orks: integrating maximum-entrop and econometric approaches M Di Vece, D Garlaschelli, T Squartini | | |
Diego GarlaschelliProfessor of Theoretical Physics, IMT Advanced School Lucca (IT) & Leiden Institute of Physics (NL)E-mail megerősítve itt: lorentz.leidenuniv.nl