activity
20182021
collaborators

7 papers

physics.soc-ph2021

Memory-cognizant generalization to Simon's random-copying neutral model

Joseph D. O'Brien, James P. Gleeson

Simon's classical random-copying model, introduced in 1955, has garnered much attention for its ability, in spite of an apparent simplicity, to produce characteristics similar to t…

physics.soc-ph2020

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

A complex networks approach to ranking professional Snooker players

Joseph D. O'Brien, James P. Gleeson

A detailed analysis of matches played in the sport of Snooker during the period 1968-2020 is used to calculate a directed and weighted dominance network based upon the correspondin…

math.OC2020

A Generalization of the Classical Kelly Betting Formula to the Case of Temporal Correlation

Joseph D. O'Brien, Kevin Burke, Mark E. Burke +1

For sequential betting games, Kelly's theory, aimed at maximization of the logarithmic growth of one's account value, involves optimization of the so-called betting fraction . I…

physics.soc-ph2020

Quantifying Uncertainty in a Predictive Model for Popularity Dynamics

Joseph D. O'Brien, Alberto Aleta, Yamir Moreno +1

The Hawkes process has garnered attention in recent years for its suitability to describe the behavior of online information cascades. Here, we present a fully tractable approach t…

physics.soc-ph2018

Spreading of Memes on Multiplex Networks

Joseph D. O'Brien, Ioannis K. Dassios, James P. Gleeson

A model for the spreading of online information or "memes" on multiplex networks is introduced and analyzed using branching-process methods. The model generalizes that of [Gleeson…