activity
20032023
most citedMultilayer Networks

3.2k citations · 5.9k across the 54 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

nlin.AO2020★ 26 cited

Synchronization dynamics in non-normal networks: the trade-off for optimality

Riccardo Muolo, Timoteo Carletti, James P. Gleeson +1

Synchronization is an important behavior that characterizes many natural and human made systems composed by several interacting units. It can be found in a broad spectrum of applic…

physics.soc-ph2020★ 1 cited

Hierarchical route to the emergence of leader nodes in real-world networks

Joseph D. O'Brien, Kleber A. Oliveira, James P. Gleeson +1

A large number of complex systems, naturally emerging in various domains, are well described by directed networks, resulting in numerous interesting features that are absent from t…

physics.soc-ph2020★ 10 cited

Identification of skill in an online game: The case of Fantasy Premier League

Joseph D. O'Brien, James P. Gleeson, David J. P. O'Sullivan

In all competitions where results are based upon an individual's performance the question of whether the outcome is a consequence of skill or luck arises. We explore this question…

physics.soc-ph2020★ 21 cited

A generalised mean-field approximation for the Deffuant opinion dynamics model on networks

Susan C. Fennell, Kevin Burke, Michael Quayle +1

When the interactions of agents on a network are assumed to follow the Deffuant opinion dynamics model, the outcomes are known to depend on the structure of the underlying network.…

physics.soc-ph2020★ 22 cited

Branching process descriptions of information cascades on Twitter

James P. Gleeson, Tomokatsu Onaga, Peter Fennell +3

A detailed analysis of Twitter-based information cascades is performed, and it is demonstrated that branching process hypotheses are approximately satisfied. Using a branching proc…

physics.soc-ph2020

Dynamics of cascades on burstiness-controlled temporal networks

Samuel Unicomb, Gerardo Iñiguez, James P. Gleeson +1

Burstiness, the tendency of interaction events to be heterogeneously distributed in time, is critical to information diffusion in physical and social systems. However, an analytica…