## Authored

17 records found

## Epidemics on Networks

### Analysis, Network Reconstruction and Prediction

## Mapping functional brain networks from the structural connectome

### Relating the series expansion and eigenmode approaches

## Clustering for epidemics on networks

### A geometric approach

Infectious diseases typically spread over a contact network with millions of individuals, whose sheer size is a tremendous challenge to analyzing and controlling an epidemic outbreak. For some contact networks, it is possible to group individuals into clusters. A high-level de ...

## Transition from time-variant to static networks

### Timescale separation in N -intertwined mean-field approximation of susceptible-infectious-susceptible epidemics

## Transition from time-variant to static networks

### Timescale separation in N -intertwined mean-field approximation of susceptible-infectious-susceptible epidemics

At the moment of writing, the future evolution of the COVID-19 epidemic is unclear. Predictions of the further course of the epidemic are decisive to deploy targeted disease control measures. We consider a network-based model to describe the COVID-19 epidemic in the Hubei prov ...

Researchers from various scientific disciplines have attempted to forecast the spread of coronavirus disease 2019 (COVID-19). The proposed epidemic prediction methods range from basic curve fitting methods and traffic interaction models to machine-learning approaches. If we co ...

A network consists of two interdependent parts: the network topology or graph, consisting of the links between nodes and the network dynamics, specified by some governing equations. A crucial challenge is the prediction of dynamics on networks, such as forecasting the spread o ...

Large-scale neurophysiological networks are often reconstructed from band-pass filtered time series derived from magnetoencephalography (MEG) data. Common practice is to reconstruct these networks separately for different frequency bands and to treat them independently. Recent ...

We analyze continuous-time Markovian ϵ-SIS epidemics with self-infections on the complete graph. The majority of the graphs are analytically intractable, but many physical features of the ϵ-SIS process observed in the complete graph can occur in any other graph. In this work, ...

## Contributed

2 records found

social networks, and to analyse the epidemic processes mathmatically. The viral state evolution is closely related to the unde ...