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A research toolkit for multiplex networks: build layer tensors & supra-adjacency, analyze topology and mesoscale with SBM, compute multilayer centralities, and …
A modular Python library to study the structural robustness of complex networks. It computes spectral-entropy metrics, entanglement-based node importance, and s…
Synthetic network model and Reservoir Computing codes used in d'Andrea, Puppin, De Domenico "Complex topological features of reservoirs shape learning performan…
StochasticDynamics is an R package for simulating and visualizing stochastic processes on networks, including epidemic (SIR, SEIR, SIRS), opinion, and reaction–…
R package for simulating and analyzing collective dynamics of coupled systems on networks. Includes continuous-time ODEs (Lorenz, Rössler, Chua, Duffing, etc.),…
Simulation and analysis of network robustness under node removal strategies. Includes standard centrality-based attacks and entanglement-based robustness using …
R package providing information-theoretic tools for complex networks via spectral entropies and divergences. Implements von Neumann and Rényi entropies, Jensen–…
SpectralGeometry is an R package for spectral analysis of complex networks. It computes Laplacians (combinatorial, random-walk, symmetric), eigen-spectra, heat …
NetGrowLib is an R package providing a collection of network growth models and tools for analyzing their degree distributions. It implements classical models …
SEIR-deniers simulates epidemic spreading with behavioral heterogeneity, modeling Deniers and Cooperators in a compartmental SEIR framework. Includes both netwo…
Python library to analyze how perturbations propagate on networks using steady-state ODE models, Local/Global correlation matrices, temporal distances, and clea…
Python package for mapping the Infodemic Risk Index (IRI) across global regions using geospatial data and COVID-19 infodemic indicators. Includes scripts to gen…
A modular Python library for time series forecasting with SARIMAX, symbolic entropy rate estimation via Lempel-Ziv methods, and geospatial analysis using the ha…
Generalized Network Diffusion Model — a physics-inspired framework to model diffusion on complex networks and analyze its informational and thermodynamic struct…
Python library to simulate Operational–Affected–Disrupted cascades via an optimized Gillespie algorithm on NetworkX graphs; outputs survivors and GCC statistics…