3.2k citations · 5.9k across the 54 of their papers we have counts for
39 papers · 1 filter
Effectiveness of Contact Tracing on Networks with Cliques
Abbas K. Rizi, Leah A. Keating, James P. Gleeson +2
Contact tracing, the practice of isolating individuals who have been in contact with infected individuals, is an effective and practical way of containing disease spread. Here, we…
A generating-function approach to modelling complex contagion on clustered networks with multi-type branching processes
Leah A. Keating, James P. Gleeson, David J. P. O'Sullivan
Understanding cascading processes on complex network topologies is paramount for modelling how diseases, information, fake news and other media spread. In this paper, we extend the…
Analysis of mean-field approximation for Deffuant opinion dynamics on networks
Alina Dubovskaya, Susan C. Fennell, Kevin Burke +2
Mean-field equations have been developed recently to approximate the dynamics of the Deffuant model of opinion formation. These equations can describe both fully-mixed populations…
Diffusion approximation of a network model of meme popularity
Kleber A. Oliveira, Samuel Unicomb, James P. Gleeson
Models of meme propagation on social networks, in which memes compete for limited user attention, can successfully reproduce the heavy-tailed popularity distributions observed in o…
Nonlinear random walks optimize the trade-off between cost and prevention in epidemics lockdown measures : the ESIR model
Bram A. Siebert, James P. Gleeson, M. Asllani
Contagious diseases can spread quickly in human populations, either through airborne transmission or if some other spreading vectors are abundantly accessible. They can be particul…
A multi-type branching process method for modelling complex contagion on clustered networks
Leah A. Keating, James P. Gleeson, David J. P. O'Sullivan
Complex contagion adoption dynamics are characterised by a node being more likely to adopt after multiple network neighbours have adopted. We show how to construct multi-type branc…