In many settings there is a need to reduce the spread of something undesirable, such as a virus, through a network. Typically, the network in which the spreading process takes place is not fixed but is subject to discrete changes over time; a natural formalism for such networks is that of temporal graphs. In this paper we survey three types of modifications that have been proposed in order to reduce reachability in temporal graphs, as well as the computational complexity of identifying optimal strategies for reducing reachability using each type of modification. We then go on to discuss several limitations of the current frameworks as models for intervention against real-world spreading processes, and suggest how these might be addressed in...
A temporal graph is a dynamic graph where every edge is assigned a set of integer time labels that i...
Local interactions on a graph will lead to global dynamic behaviour. In this thesis we focus on two ...
Progress has been made in how to suppress epidemic spreading on temporal networks via blocking all c...
The static graph-based models of complex networks have enjoyed great success in describing various p...
Spreading processes on graphs are a natural model for a wide variety of real-world phenomena, includ...
Spreading processes on graphs are a natural model for a wide variety of real-world phenomena, includ...
Spreading processes on graphs are a natural model for a wide variety of real-world phenomena, includ...
In this paper, we aim to effectively suppress the spread of epidemic/information via blocking/removi...
We present a contact-based model to study the spreading of epidemics by means of extending the dynam...
We present a contact-based model to study the spreading of epidemics by means of extending the dynam...
Current approaches for modeling propagation in networks (e.g., of diseases, computer viruses, rumors...
We study spreading on networks where the contact dynamics between the nodes is governed by...
Software implementation available at https://doi.org/10.5281/zenodo.3369893Time-limited states chara...
A temporal graph is a dynamic graph where every edge is assigned a set of integer time labels that i...
Time-limited states characterize many dynamical processes on networks: disease-infected individuals ...
A temporal graph is a dynamic graph where every edge is assigned a set of integer time labels that i...
Local interactions on a graph will lead to global dynamic behaviour. In this thesis we focus on two ...
Progress has been made in how to suppress epidemic spreading on temporal networks via blocking all c...
The static graph-based models of complex networks have enjoyed great success in describing various p...
Spreading processes on graphs are a natural model for a wide variety of real-world phenomena, includ...
Spreading processes on graphs are a natural model for a wide variety of real-world phenomena, includ...
Spreading processes on graphs are a natural model for a wide variety of real-world phenomena, includ...
In this paper, we aim to effectively suppress the spread of epidemic/information via blocking/removi...
We present a contact-based model to study the spreading of epidemics by means of extending the dynam...
We present a contact-based model to study the spreading of epidemics by means of extending the dynam...
Current approaches for modeling propagation in networks (e.g., of diseases, computer viruses, rumors...
We study spreading on networks where the contact dynamics between the nodes is governed by...
Software implementation available at https://doi.org/10.5281/zenodo.3369893Time-limited states chara...
A temporal graph is a dynamic graph where every edge is assigned a set of integer time labels that i...
Time-limited states characterize many dynamical processes on networks: disease-infected individuals ...
A temporal graph is a dynamic graph where every edge is assigned a set of integer time labels that i...
Local interactions on a graph will lead to global dynamic behaviour. In this thesis we focus on two ...
Progress has been made in how to suppress epidemic spreading on temporal networks via blocking all c...