Co-eigenvector Graphs

Transition from time-variant to static networks: Timescale separation in N -intertwined mean-field approximation of susceptible-infectious-susceptible epidemics

Eigenvector components of symmetric, graph-related matrices

Recovering Power Grids Using Strategies Based on Network Metrics and Greedy Algorithms

The role of epidemic spreading in seizure dynamics and epilepsy surgery

Topological properties and organizing principles of semantic networks

System Identification for Temporal Networks

Linear Clustering Process on Networks

Option Pricing Techniques: Using Neural Networks

Epidemic models characterize seizure propagation and the effects of epilepsy surgery in individualized brain networks based on MEG and invasive EEG recordings

Accuracy of predicting epidemic outbreaks

Predicting network dynamics without requiring the knowledge of the interaction graph

Predicting time-resolved electrophysiological brain networks from structural eigenmodes

Origin of the fractional derivative and fractional non-Markovian continuous-time processes

Moment closure approximations of susceptible-infected-susceptible epidemics on adaptive networks

Fréchet distribution in geometric graphs for drone networks

Comparing the accuracy of several network-based COVID-19 prediction algorithms

Analysis of continuous-time Markovian ϵ -SIS epidemics on networks

Two-Population SIR Model and Strategies to Reduce Mortality in Pandemics

Markov Modulated Process to Model Human Mobility