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Transition from time-variant to static networks: Timescale separation in N -intertwined mean-field approximation of susceptible-infectious-susceptible epidemics
Predicting time-resolved electrophysiological brain networks from structural eigenmodes
Analysis of continuous-time Markovian ϵ -SIS epidemics on networks
Comparing the accuracy of several network-based COVID-19 prediction algorithms
Predicting network dynamics without requiring the knowledge of the interaction graph
Accuracy of predicting epidemic outbreaks
Clustering for epidemics on networks: A geometric approach
Interlayer connectivity reconstruction for multilayer brain networks using phase oscillator models
Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei
Mapping functional brain networks from the structural connectome: Relating the series expansion and eigenmode approaches
Network-based prediction of COVID-19 epidemic spreading in Italy
Time-dependent solution of the NIMFA equations around the epidemic threshold
The Viral State Dynamics of the Discrete-Time NIMFA Epidemic Model
Exact Network Reconstruction from Complete SIS Nodal State Infection Information Seems Infeasible
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