Peter G. Fennell

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James P GleesonProfessor of Industrial and Applied Mathematics, MACSI, University of LimerickVerified email at ul.ie
David JP O' SullivanLecture in Statistics and Data Analytics at the University of LimerickVerified email at ul.ie
Nazanin AlipourFardMachine Learning Engineer @TwitterVerified email at twitter.com
Sergey MelnikUniversity of LimerickVerified email at ul.ie
Gary O'KeeffeData Science Consultant, ProCogiaVerified email at procogia.com
Zhiya ZuoCity University of Hong KongVerified email at cityu.edu.hk
Stephen KinsellaUniversity of LimerickVerified email at ul.ie
Antoine GodinAgence Francaise de Développement, CEPNVerified email at afd.fr
Allon PercusProfessor of Mathematics, Claremont Graduate UniversityVerified email at cgu.edu
Shin-Chieng Ngo (Xin-Zeng Wu)Information Sciences Institute, University of Southern CaliforniaVerified email at isi.edu
Davide CellaiCentral Bank of IrelandVerified email at ul.ie
Mel DevineUniversity College DublinVerified email at ucd.ie
Vahid S. BokharaieMax Planck Institute for Biological CyberneticsVerified email at tuebingen.mpg.de
Jonathan A. WardUniversity of LeedsVerified email at leeds.ac.uk

Peter G. Fennell

Information Science Institute, University of Southern California

Verified email at isi.edu - Homepage

Complex Systems Social contagion Applied mathematics Network science Stochastic Dynamics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Limitations of discrete-time approaches to continuous-time contagion dynamics PG Fennell, S Melnik, JP Gleeson Physical Review E 94 (5), 052125, 2016	88	2016
Mathematical modeling of complex contagion on clustered networks DJP O'Sullivan, GJ O'Keeffe, PG Fennell, JP Gleeson Frontiers in Physics 3, 71, 2015	49	2015
Multistate dynamical processes on networks: analysis through degree-based approximation frameworks PG Fennell, JP Gleeson SIAM Review 61 (1), 92-118, 2019	27	2019
Can you Trust the Trend? Discovering Simpson's Paradoxes in Social Data N Alipourfard, PG Fennell, K Lerman Proceedings of the eleventh ACM international conference on web search and …, 2018	25	2018
Using Simpson’s paradox to discover interesting patterns in behavioral data N Alipourfard, PG Fennell, K Lerman Twelfth international AAAI conference on web and social media, 2018	16	2018
Predicting and explaining behavioral data with structured feature space decomposition PG Fennell, Z Zuo, K Lerman EPJ Data Science 8 (1), 23, 2019	13	2019
Degree correlations amplify the growth of cascades in networks XZ Wu, PG Fennell, AG Percus, K Lerman Physical Review E 98 (2), 022321, 2018	10	2018
Branching process descriptions of information cascades on Twitter JP Gleeson, T Onaga, P Fennell, J Cotter, R Burke, DJP O’Sullivan Journal of Complex Networks 8 (6), cnab002, 2020	8	2020
Is It Possible to Visualise Any Stock Flow Consistent Model as a Directed Acyclic Graph? PG Fennell, DJP O’Sullivan, A Godin, S Kinsella Computational Economics, 1-10, 2015	5	2015
Analytical approach to the dynamics of facilitated spin models on random networks PG Fennell, JP Gleeson, D Cellai Physical Review E 90 (3), 032824, 2014	4	2014
Stochastic processes on complex networks: techniques and explorations PG Fennell University of Limerick, 2015	2	2015
Visualising stock flow consistent models as directed acyclic graphs P Fennell, D O'Sullivan, A Godin, S Kinsella		2014
Electricity Exchange: Demand Side Unit performance monitoring V Bokharaie, P Carroll, M Devine, P Fennell, J Gleeson, K Hayes, ...		2013
The Genetic Algorithm as a Tool to Fit Neuronal Spiking Model P Fennell Trinity College Dublin, 2011		2011
Supplementary Information to Predicting and Explaining Behavioral Data with Structured Feature Space Decomposition P Fennell, Z Zuo, K Lerman

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