4 citations · 5 across the 9 of their papers we have counts for
10 papers
A principled closure framework for higher-order SIS epidemic models on networks
Kevin Teo, Peter L Simon, István Zoltán Kiss
Susceptible-infected-susceptible (SIS) epidemic models on networks are governed by hierarchical moment equations where the dynamics of smaller subsystems depend on the state of lar…
Likelihood-based inference for birth-death processes with composite birth mechanisms
Marko Lalovic, Nicos Georgiou, Istvan Z. Kiss
We develop a likelihood-based inference for finite-state birth-death processes with composite birth rates, in which multiple distinct mechanisms contribute additively to the total…
To trace or not to trace: analytical insights from network-based contact-tracing models
Giulia de Meijere, Andrea Pugliese, Gerardo Iñiguez +2
Contact tracing is one of the most important control measures deployed during epidemics. Relying on the identification of contacts of known infected individuals, it necessitates a…
Unveiling the impact of cross-order hyperdegree correlations in contagion processes on hypergraphs
Andrés Guzmán, Federico Malizia, István Z. Kiss
Contagion processes in social systems often involve interactions that go beyond pairwise contacts. Higher-order networks, represented as hypergraphs, have been widely used to model…
Nested hyperedges promote the onset of collective transitions but suppress explosive behavior
Federico Malizia, Andrés Guzmán, Federico Battiston +1
Higher-order interactions can induce abrupt collective transitions, yet the microscopic mechanisms controlling macroscopic critical behavior remain unclear. Here we show that neste…
Inferring contact network characteristics from epidemic data via compact mean-field models
Andrés Guzmán, Federico Malizia, Gyeong Ho Park +3
Modelling epidemics using contact networks provides a significant improvement over classical compartmental models by explicitly incorporating the network of contacts. However, whil…