# Prof. James Gleeson

## Biography

James Gleeson holds a BSc in Mathematical Science and an MSc in Mathematical Physics from University College Dublin. In 1999 he completed his PhD in Applied Mathematics at Caltech. He has lectured at Arizona State University and at University College Cork, and since 2007 has held a Chair in Industrial and Applied Mathematics at the University of Limerick.James' research interests are in mathematical modelling of stochastic dynamics, with a particular focus on complex systems and networks. James is co-director of MACSI, the Mathematics Applications Consortium for Science and Industry (http://www.macsi.ul.ie/). MACSI researchers develop and apply mathematical techniques to assist collaborators from science and industry in solving real-world problems. James is currently a member of the editorial board of Physical Review E, and a member of the Scientific Advisory Board of ISI Foundation Turin.## Research Interests

My group works on mathematical models for stochastic dynamics, particularly on complex networks. As co-director of MACSI, I am also interested in applying mathematical tools and techniques to solving real-world problems, in collaboration with partners from industry, science and engineering.## Peer Reviewed Journals

### Calibrating COVID-19 susceptible-exposed-infected-removed models with time-varying effectivecontact rates

Gleeson, JP;Murphy, TB;O'Brien, JD;Friel, N;Bargary, N;O'Sullivan, DJP (2022) Calibrating COVID-19 susceptible-exposed-infected-removed models with time-varying effectivecontact rates. LONDON : ROYAL SOC Philosophical Transactions: Mathematical, Physical And Engineering Sciences

### Symmetry-breaking mechanism for the formation of cluster chimera patterns

Asllani, M;Siebert, BA;Arenas, A;Gleeson, JP (2022) Symmetry-breaking mechanism for the formation of cluster chimera patterns. MELVILLE : AIP Publishing Chaos

### Dynamics of cascades on burstiness-controlled temporal networks

Unicomb, S;Iniguez, G;Gleeson, JP;Karsai, M (2021) Dynamics of cascades on burstiness-controlled temporal networks. BERLIN : NATURE PORTFOLIO Nature Communications

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

O'Brien, JD;Gleeson, JP (2021) Memory-cognizant generalization to Simon's random-copying neutral model. COLLEGE PK : AMER PHYSICAL SOC Physical Review Research

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

O'Brien, JD;Oliveira, KA;Gleeson, JP;Asllani, M (2021) Hierarchical route to the emergence of leader nodes in real-world networks. COLLEGE PK : AMER PHYSICAL SOC Physical Review Research

### Synchronization Dynamics in Non-Normal Networks: The Trade-Off for Optimality

Muolo, R;Carletti, T;Gleeson, JP;Asllani, M (2021) Synchronization Dynamics in Non-Normal Networks: The Trade-Off for Optimality. BASEL : MDPI Entropy

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

O'Brien, JD;Gleeson, JP;O'Sullivan, DJP (2021) Identification of skill in an online game: The case of Fantasy Premier League. SAN FRANCISCO : PUBLIC LIBRARY SCIENCE Plos One

### Generalized mean-field approximation for the Deffuant opinion dynamics model on networks

Fennell SC, Burke K, Quayle M and Gleeson JP (2021) Generalized mean-field approximation for the Deffuant opinion dynamics model on networks. Physical Review E

### A complex networks approach to ranking professional Snooker players

O'Brien, JD;Gleeson, JP (2020) A complex networks approach to ranking professional Snooker players. OXFORD : OXFORD UNIV PRESS Journal Of Complex Networks

### Branching process descriptions of information cascades on Twitter

Gleeson, JP;Onaga, T;Fennell, P;Cotter, J;Burke, R;O'Sullivan, DJP (2020) Branching process descriptions of information cascades on Twitter. OXFORD : OXFORD UNIV PRESS Journal Of Complex Networks

### Assessing police topological efficiency in a major sting operation on the dark web

da Cunha B.;MacCarron P.;Passold J.;dos Santos L.;Oliveira K.;Gleeson J. (2020) Assessing police topological efficiency in a major sting operation on the dark web. Scientific Reports

### Dynamics impose limits to detectability of network structure

Asllani M.;Da Cunha B.R.o.;Estrada E.;Gleeson J.P. (2020) Dynamics impose limits to detectability of network structure. New Journal Of Physics

### Role of modularity in self-organization dynamics in biological networks

Siebert, BA;Hall, CL;Gleeson, JP;Asllani, M (2020) Role of modularity in self-organization dynamics in biological networks. COLLEGE PK : AMER PHYSICAL SOC Physical Review E

### Agreement threshold on Axelrod's model of cultural dissemination

MacCarron P, Maher PJ, Fennell S, Burke K, Gleeson JP, Durrheim K and Quayle M (2020) Agreement threshold on Axelrod's model of cultural dissemination. Plos One

### Quantifying uncertainty in a predictive model for popularity dynamics

O'Brien J.D.;Aleta A.;Moreno Y.;Gleeson J.P. (2020) Quantifying uncertainty in a predictive model for popularity dynamics. Physical Review E :-062311

### Contact-Based Model for Epidemic Spreading on Temporal Networks

Koher A.;Lentz H.;Gleeson J.;HÃ¶vel P. (2019) Contact-Based Model for Epidemic Spreading on Temporal Networks. Physical Review X

### Spreading of memes on multiplex networks

O'Brien J.D.;Dassios I.K.;Gleeson J.P. (2019) Spreading of memes on multiplex networks. New Journal Of Physics

### Multistate Dynamical Processes on Networks: Analysis through Degree-Based Approximation Frameworks

Fennell, PG;Gleeson, JP (2019) Multistate Dynamical Processes on Networks: Analysis through Degree-Based Approximation Frameworks. PHILADELPHIA : SIAM PUBLICATIONS Siam Review :92-118

### Emergence of power laws in noncritical neuronal systems

Faqeeh A.;Osat S.;Radicchi F.;Gleeson J. (2019) Emergence of power laws in noncritical neuronal systems. Physical Review E

### A modelling methodology for social interaction experiments

Fennell SC, Gleeson JP, Quayle M, Durrheim K and Burke K (2019) A modelling methodology for social interaction experiments. Arxiv Preprint Arxiv:1908.02586

### Sparse Power-Law Network Model for Reliable Statistical Predictions Based on Sampled Data

Kartun-Giles, AP;Krioukov, D;Gleeson, JP;Moreno, Y;Bianconi, G (2018) Sparse Power-Law Network Model for Reliable Statistical Predictions Based on Sampled Data. BASEL : MDPI Entropy

### Concurrency-Induced Transitions in Epidemic Dynamics on Temporal Networks

Onaga, T,Gleeson, JP,Masuda, N (2017) Concurrency-Induced Transitions in Epidemic Dynamics on Temporal Networks. Physical Review Letters

### Temporal profiles of avalanches on networks

Gleeson, JP,Durrett, R (2017) Temporal profiles of avalanches on networks. Nature Communications

### Equivalence between Non-Markovian and Markovian Dynamics in Epidemic Spreading Processes

Starnini, M,Gleeson, JP,Boguna, M (2017) Equivalence between Non-Markovian and Markovian Dynamics in Epidemic Spreading Processes. Physical Review Letters

### Specifying An Efficient Renewable Energy Feed-in Tariff

Farrell, N,Devine, MT,Lee, WT,Gleeson, JP,Lyons, S (2017) Specifying An Efficient Renewable Energy Feed-in Tariff. Energy Journal :53-75

### Integrating sentiment and social structure to determine preference alignments: the Irish Marriage Referendum

O'Sullivan, DJP,Garduno-Hernandez, G,Gleeson, JP,Beguerisse-Diaz, M (2017) Integrating sentiment and social structure to determine preference alignments: the Irish Marriage Referendum. Royal Society Open Science

### A framework for analyzing contagion in assortative banking networks

Hurd, TR,Gleeson, JP,Melnik, S (2017) A framework for analyzing contagion in assortative banking networks. Plos One

### Effects of Network Structure, Competition and Memory Time on Social Spreading Phenomena

Gleeson, JP,O'Sullivan, KP,Banos, RA,Moreno, Y (2016) Effects of Network Structure, Competition and Memory Time on Social Spreading Phenomena. Physical Review X

### Bond Percolation on Multiplex Networks

Hackett, A,Cellai, D,Gomez, S,Arenas, A,Gleeson, JP (2016) Bond Percolation on Multiplex Networks. Physical Review X

### Emergence of coexisting percolating clusters in networks

Faqeeh, A; Melnik, S; Colomer-de-SimÃ³n, P; Gleeson, JP (2016) Emergence of coexisting percolating clusters in networks. Physical Review E

### Limitations of discrete-time approaches to continuous-time contagion dynamics

Fennell, PG,Melnik, S,Gleeson, JP (2016) Limitations of discrete-time approaches to continuous-time contagion dynamics. Physical Review E

### Emergence of coexisting percolating clusters in networks

Faqeeh, A,Melnik, S,Colomer-de-Simon, P,Gleeson, JP (2016) Emergence of coexisting percolating clusters in networks. Physical Review E

### Network cloning unfolds the effect of clustering on dynamical processes

Faqeeh, A; Melnik, S; Gleeson, JP (2015) Network cloning unfolds the effect of clustering on dynamical processes. Physical Review E :052807-

### Mathematical modeling of complex contagion on clustered networks

O'Sullivan, DJP,O'Keeffe, GJ,Fennell, PG,Gleeson, JP (2015) Mathematical modeling of complex contagion on clustered networks. Frontiers In Physics

### Analytical approach to the dynamics of facilitated spin models on random networks

Fennell, PG,Gleeson, JP,Cellai, D (2014) Analytical approach to the dynamics of facilitated spin models on random networks. Physical Review E

### A simple generative model of collective online behavior

Gleeson, JP,Cellai, D,Onnela, JP,Porter, MA,Reed-Tsochas, F (2014) A simple generative model of collective online behavior. Proceedings of the National Academy of Sciences of the United States of America :10411-10415

### Multilayer networks

KivelÃ¤ M.;Arenas A.;Barthelemy M.;Gleeson J.;Moreno Y.;Porter M. (2014) Multilayer networks. Journal Of Complex Networks :203-271

### Competition-Induced Criticality in a Model of Meme Popularity

Gleeson, JP,Ward, JA,O'Sullivan, KP,Lee, WT (2014) Competition-Induced Criticality in a Model of Meme Popularity. Physical Review Letters

### Dynamics on modular networks with heterogeneous correlations

Melnik, S,Porter, MA,Mucha, PJ,Gleeson, JP (2014) Dynamics on modular networks with heterogeneous correlations. Chaos

### A Rolling Optimisation Model of the UK Natural Gas Market

Devine, MT,Gleeson, JP,Kinsella, J,Ramsey, DM (2014) A Rolling Optimisation Model of the UK Natural Gas Market. Networks & Spatial Economics :209-244

### Percolation in multiplex networks with overlap

Cellai, D,Lopez, E,Zhou, J,Gleeson, JP,Bianconi, G (2013) Percolation in multiplex networks with overlap. Physical Review E

### Cascades on clique-based graphs

Hackett, A,Gleeson, JP (2013) Cascades on clique-based graphs. Physical Review E

### Critical phenomena in heterogeneous k-core percolation

Cellai, D,Lawlor, A,Dawson, KA,Gleeson, JP (2013) Critical phenomena in heterogeneous k-core percolation. Physical Review E

### Multi-stage complex contagions

Melnik, S,Ward, JA,Gleeson, JP,Porter, MA (2013) Multi-stage complex contagions. Chaos

### Binary-State Dynamics on Complex Networks: Pair Approximation and Beyond

Gleeson, JP (2013) Binary-State Dynamics on Complex Networks: Pair Approximation and Beyond. Physical Review X

### Variability in output torque of capstan and wrap spring elements

Cronin, K,Gleeson, JP (2013) Variability in output torque of capstan and wrap spring elements. Mechanism And Machine Theory :49-66

### Graph fission in an evolving voter model

Durrett, R,Gleeson, JP,Lloyd, AL,Mucha, PJ,Shi, F,Sivakoff, D,Socolar, JES,Varghese, C (2012) Graph fission in an evolving voter model. Proceedings Of The National Academy Of Sciences Of The United States Of America :3682-3687

### Accuracy of mean-field theory for dynamics on real-world networks

Gleeson, JP,Melnik, S,Ward, JA,Porter, MA,Mucha, PJ (2012) Accuracy of mean-field theory for dynamics on real-world networks. Physical Review E

### Statistical characterisation and modelling of random geometric imperfections in cylindrical shells

de Paor, C,Cronin, K,Gleeson, JP,Kelliher, D (2012) Statistical characterisation and modelling of random geometric imperfections in cylindrical shells. Thin-Walled Structures :9-17

### Tricritical Point in Heterogeneous k-Core Percolation

Cellai, D; Lawlor, A; Dawson, KA; Gleeson, JP (2011) Tricritical Point in Heterogeneous k-Core Percolation. Physical Review Letters

### High-Accuracy Approximation of Binary-State Dynamics on Networks

Gleeson, JP (2011) High-Accuracy Approximation of Binary-State Dynamics on Networks. Physical Review Letters

### Cascades on a class of clustered random networks

Hackett, A; Melnik, S; Gleeson, JP (2011) Cascades on a class of clustered random networks. Physical Review E

### The unreasonable effectiveness of tree-based theory for networks with clustering

Melnik, S; Hackett, A; Porter, MA; Mucha, PJ; Gleeson, JP (2011) The unreasonable effectiveness of tree-based theory for networks with clustering. Physical Review E

### Binary Phase Detector Gain in Bang-Bang Phase-Locked Loops With DCO Jitter

Tertinek, S; Gleeson, JP; Feely, O (2010) Binary Phase Detector Gain in Bang-Bang Phase-Locked Loops With DCO Jitter. Ieee Transactions On Circuits And Systems Ii-Express Briefs :941-945

### Statistical Analysis of First-Order Bang-Bang Phase-Locked Loops Using Sign-Dependent Random-Walk Theory

Tertinek, S; Gleeson, JP; Feely, O (2010) Statistical Analysis of First-Order Bang-Bang Phase-Locked Loops Using Sign-Dependent Random-Walk Theory. Ieee Transactions On Circuits And Systems I-Regular Papers :2367-2380

### How clustering affects the bond percolation threshold in complex networks

Gleeson, JP; Melnik, S; Hackett, A (2010) How clustering affects the bond percolation threshold in complex networks. Physical Review E

### Transport in randomly-fluctuating spatially-periodic potentials

Gleeson, JP (2009) Transport in randomly-fluctuating spatially-periodic potentials. Physica A-Statistical Mechanics And Its Applications :277-287

### Bond percolation on a class of clustered random networks

Gleeson, JP (2009) Bond percolation on a class of clustered random networks. Physical Review E

### Accuracy of whole-body low-dose multidetector CT (WBLDCT) versus skeletal survey in the detection of myelomatous lesions, and correlation of disease distribution with whole-body MRI (WBMRI)

Gleeson, TG; Moriarty, J; Shortt, CP; Gleeson, JP; Fitzpatrick, P; Byrne, B; McHugh, J; O'Connell, M; O'Gorman, P; Eustace, SJ (2009) Accuracy of whole-body low-dose multidetector CT (WBLDCT) versus skeletal survey in the detection of myelomatous lesions, and correlation of disease distribution with whole-body MRI (WBMRI). Skeletal Radiology :225-236

### Diffusion coefficient in periodic and random potentials

Khoury, M; Gleeson, JP; Sancho, JM; Lacasta, AM; Lindenberg, K (2009) Diffusion coefficient in periodic and random potentials. Physical Review E

### On asymptotic stability and instability with respect to a fading stochastic perturbation

Appleby, JAD; Gleeson, JP; Rodkina, A (2009) On asymptotic stability and instability with respect to a fading stochastic perturbation. Applicable Analysis :579-603

### Study on the Combined Effects of Solvent Evaporation and Polymer Flow upon Block Copolymer Self-Assembly and Alignment on Topographic Patterns

Fitzgerald, TG; Farrell, RA; Petkov, N; Bolger, CT; Shaw, MT; Charpin, JPF; Gleeson, JP; Holmes, JD; Morris, MA (2009) Study on the Combined Effects of Solvent Evaporation and Polymer Flow upon Block Copolymer Self-Assembly and Alignment on Topographic Patterns. Langmuir :13551-13560

### Analytical results for bond percolation and k-core sizes on clustered networks

Gleeson, JP; Melnik, S (2009) Analytical results for bond percolation and k-core sizes on clustered networks. Physical Review E

### Cascades on correlated and modular random networks

Gleeson, JP (2008) Cascades on correlated and modular random networks. Physical Review E

### Mean size of avalanches on directed random networks with arbitrary degree distributions

Gleeson, JP (2008) Mean size of avalanches on directed random networks with arbitrary degree distributions. Physical Review E

### Phase diffusion coefficient for oscillators perturbed by colored noise

O'Doherty, F; Gleeson, JP (2007) Phase diffusion coefficient for oscillators perturbed by colored noise. Ieee Transactions On Circuits And Systems-Part 11 :435-439

### Kramers' law for a bistable system with time-delayed noise

Goulding, D; Melnik, S; Curtin, D; Gleeson, JP; et al (2007) Kramers' law for a bistable system with time-delayed noise. Physical Review E :031128-

### Fabrication of nanopore array electrodes by focused ion beam milling

Lanyon; YH; De Marzi, G; Watson, YE; Gleeson, JP; et al (2007) Fabrication of nanopore array electrodes by focused ion beam milling. Analytical Chemistry :3048-3055

### Seed size strongly affects cascades on random networks

Gleeson, JP; Cahalane, DJ (2007) Seed size strongly affects cascades on random networks. Phys. Rev. E. :056103-

### Selection of processing temperature to minimize product temperature variability in food heating processes

Cronin, K; Mackey, D; Cregan, V; O'Brien, S; Gleeson, JP; Abodayeh, K (2007) Selection of processing temperature to minimize product temperature variability in food heating processes. Food And Bioproducts Processing :344-353

### Phase diffusion due to low-frequency colored noise

Gleeson, JP (2006) Phase diffusion due to low-frequency colored noise. Ieee Transactions On Circuits And Systems-Part 11 :183-186

### Role of interaction on noise-induced transport of two coupled particles in Brownian ratchet devices

Retkute, R; Gleeson, JP (2006) Role of interaction on noise-induced transport of two coupled particles in Brownian ratchet devices. Fluctuation And Noise Letters :L263-L277

### Applications of small-world network theory in alcohol epidemiology

Braun, RJ; Wilson, RA; Pelesko, JA; Gleeson, JP; et al (2006) Applications of small-world network theory in alcohol epidemiology. Journal Of Studies On Alcohol :591-599

### Analytical approach to sorting in periodic and random potentials

Gleeson, JP; Sancho, JM; Lacasta, AM; et al (2006) Analytical approach to sorting in periodic and random potentials. Physical Review E :041102-

### The mean field of weakly coupled oscillators exhibits non-smooth phase noise

Gleeson, JP (2006) The mean field of weakly coupled oscillators exhibits non-smooth phase noise. Europhysics Letters :328-334

### Non-Lorentzian spectral lineshapes near a Hopf bifurcation

Gleeson, JP; O'Doherty, F (2006) Non-Lorentzian spectral lineshapes near a Hopf bifurcation. S.I.A.M. Journal Of Applied Mathematics :1669-1688

### Passive motion in dynamical disorder as a model for stock market prices

Gleeson, JP (2005) Passive motion in dynamical disorder as a model for stock market prices. Physica A :523-550

### Exactly solvable model of continuous stationary 1/f noise

Gleeson, JP (2005) Exactly solvable model of continuous stationary 1/f noise. Physical Review E :011106-

### Transient micromixing: Examples of laminar and chaotic stirring

Gleeson, JP (2005) Transient micromixing: Examples of laminar and chaotic stirring. Physics Of Fluids :100614-

### Nonlinear sloshing and passage through resonance in a shallow water tank

Cox, EA; Gleeson, JP; Mortell, MP (2005) Nonlinear sloshing and passage through resonance in a shallow water tank. Zamp :645-680

### Influence of noise intensity on the spectrum of an oscillator

Swain, RS; Gleeson, JP; Kennedy, MP (2005) Influence of noise intensity on the spectrum of an oscillator. Ieee Transactions On Circuits And Systems-Part 11 :789-793

### Modelling annular micromixers

Gleeson, JP; Roche, OM; West, J; et al (2004) Modelling annular micromixers. S.I.A.M. Journal Of Applied Mathematics :1294-1310

### Structuring laminar flows using annular magnetohydrodynamic actuation

West, J; Gleeson, JP; Alderman, J; et al (2003) Structuring laminar flows using annular magnetohydrodynamic actuation. Sensors And Actuators B-Chemical :190-199

### Flatness of tracer density profile produced by a point source in turbulence

Gleeson, JP; Pullin, DI (2003) Flatness of tracer density profile produced by a point source in turbulence. Physics Of Fluids :3546-3557

### Exact solution for single-scale Gaussian random transport

Gleeson, JP (2002) Exact solution for single-scale Gaussian random transport. Physical Review E :037103-

### Comment on Diffusion in biased turbulence""

Gleeson, JP (2002) Comment on Diffusion in biased turbulence"". Physical Review E :038301-

### Application of magnetohydrodynamic actuation to continuous flow chemistry

West, J; Karamata, B; Lillis, B; Gleeson, JP; et al (2002) Application of magnetohydrodynamic actuation to continuous flow chemistry. Lab On A Chip :224-230

### Electroosmotic flows with random zeta potential

Gleeson, JP (2002) Electroosmotic flows with random zeta potential. Journal Of Colloid And Interface Science :217-226

### Spectral viscosity for shallow water equations in spherical geometry

Gelb, A; Gleeson, JP (2001) Spectral viscosity for shallow water equations in spherical geometry. Monthly Weather Review :2346-2360

### A closure method for random advection of a passive scalar

Gleeson, JP (2000) A closure method for random advection of a passive scalar. Physics Of Fluids :1472-1484

## Books

### Dynamical Systems on Networks: A Tutorial

Mason A. Porter and James P. Gleeson (2016) Dynamical Systems on Networks: A Tutorial. Switzerland : Springer

## Book Chapters

### Spreading of Infection on Temporal Networks: An Edge-Centered Perspective

Koher, A;Gleeson, JP;Hovel, P (2019) Spreading of Infection on Temporal Networks: An Edge-Centered Perspective. CHAM : SPRINGER INTERNATIONAL PUBLISHING AG TEMPORAL NETWORK THEORY :235-252

### The Effect of Concurrency on Epidemic Threshold in Time-Varying Networks

Onaga, T;Gleeson, JP;Masuda, N (2019) The Effect of Concurrency on Epidemic Threshold in Time-Varying Networks. CHAM : SPRINGER INTERNATIONAL PUBLISHING AG TEMPORAL NETWORK THEORY :253-267

### Message-Passing Methods for Complex Contagions

Gleeson, JP;Porter, MA (2018) Message-Passing Methods for Complex Contagions. BERLIN : SPRINGER-VERLAG BERLIN COMPLEX SPREADING PHENOMENA IN SOCIAL SYSTEMS: INFLUENCE AND CONTAGION IN REAL-WORLD SOCIAL NETWORKS :81-95

### Systemic Risk in Banking Networks Without Monte Carlo Simulation

James P. Gleeson, T.R. Hurd, Sergey Melnik, Adam Hackett (2012) Systemic Risk in Banking Networks Without Monte Carlo Simulation. Berlin : Springer Advances in Network Analysis and its Applications :27-56

## Edited Books

## Other Journals

## Conference Publications

### Studies in Computational Intelligence

Melnik S., Gleeson J.P. (2009) Studies in Computational Intelligence. Studies In Computational Intelligence :147-159

## Conference Contributions

## Published Reports

## Editorials

## Book Reviews

## Other Publications

### Emergence of coexisting percolating clusters in networks

Faqeeh, A; Melnik, S; Gleeson, JP; Colomer-de-Sim'on, P (2015) Emergence of coexisting percolating clusters in networks. arXiv:1508.05590