Add to ORKGViral spread on large graphs has many real-life applications such as mal-ware propagation in computer networks and rumor (or misinformation) spread in Twitter-like online social networks. Although viral spread on large graphs has been intensively analyzed on classical models such as Susceptible-Infectious-Recovered, there still exits a deficit of effective methods in practice to contain epidemic spread once it passes a critical threshold. Against this backdrop, we explore methods of containing viral spread in large networks with th
In this PhD dissertation, we study epidemics on networks of contacts through the lens of statistical...
We analyze the contact process on random graphs generated according to the preferential attachment s...
Random walks on graphs are often used to analyse and predict epidemic spreads and to investigate pos...
Viral spread on large graphs has many real-life applications such as mal-ware propagation in compute...
One way to describe the spread of an infection on a network is by approximating the network by a ran...
The spread of viruses in biological networks, computer networks, and human contact networks can ha...
We consider a natural network diffusion process, modeling the spread of information or infectious di...
Abstract—We study epidemic spreading processes in large networks, when the spread is assisted by a s...
Local interactions on a graph will lead to global dynamic behaviour. In this thesis we focus on two ...
The Internet has a very complex connectivity recently modeled by the class of scale-free networks. T...
We develop and analyze optimization models for rapid detection of viruses in large contact networks....
The Firefighter Problem models the spread of a fire across a network. The usual version of the model...
We introduce a general stochastic model for the spread of rumours, and derive mean-field equations t...
The purpose of this work is to analyze the spread of an infectious disease on a random large social ...
We consider the problem of finding the graph on which an epidemic cascade spreads, given only the ti...
In this PhD dissertation, we study epidemics on networks of contacts through the lens of statistical...
We analyze the contact process on random graphs generated according to the preferential attachment s...
Random walks on graphs are often used to analyse and predict epidemic spreads and to investigate pos...
Viral spread on large graphs has many real-life applications such as mal-ware propagation in compute...
One way to describe the spread of an infection on a network is by approximating the network by a ran...
The spread of viruses in biological networks, computer networks, and human contact networks can ha...
We consider a natural network diffusion process, modeling the spread of information or infectious di...
Abstract—We study epidemic spreading processes in large networks, when the spread is assisted by a s...
Local interactions on a graph will lead to global dynamic behaviour. In this thesis we focus on two ...
The Internet has a very complex connectivity recently modeled by the class of scale-free networks. T...
We develop and analyze optimization models for rapid detection of viruses in large contact networks....
The Firefighter Problem models the spread of a fire across a network. The usual version of the model...
We introduce a general stochastic model for the spread of rumours, and derive mean-field equations t...
The purpose of this work is to analyze the spread of an infectious disease on a random large social ...
We consider the problem of finding the graph on which an epidemic cascade spreads, given only the ti...
In this PhD dissertation, we study epidemics on networks of contacts through the lens of statistical...
We analyze the contact process on random graphs generated according to the preferential attachment s...
Random walks on graphs are often used to analyse and predict epidemic spreads and to investigate pos...