3.2k citations · 5.9k across the 54 of their papers we have counts for
4 papers · 2 filters
Multistate dynamical processes on networks: Analysis through degree-based approximation frameworks
Peter G. Fennell, James P. Gleeson
Multistate dynamical processes on networks, where nodes can occupy one of a multitude of discrete states, are gaining widespread use because of their ability to recreate realistic,…
Message-Passing Methods for Complex Contagions
James P. Gleeson, Mason A. Porter
Message-passing methods provide a powerful approach for calculating the expected size of cascades either on random networks (e.g., drawn from a configuration-model ensemble or its…
Concurrency-induced transitions in epidemic dynamics on temporal networks
Tomokatsu Onaga, James P. Gleeson, Naoki Masuda
Social contact networks underlying epidemic processes in humans and animals are highly dynamic. The spreading of infections on such temporal networks can differ dramatically from s…
Equivalence between non-Markovian and Markovian dynamics in epidemic spreading processes
Michele Starnini, James P. Gleeson, Marián Boguñá
A general formalism is introduced to allow the steady state of non-Markovian processes on networks to be reduced to equivalent Markovian processes on the same substrates. The examp…