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Dane Taylor
Dane Taylor
School of Computing; Dept. of Math/Stat; Dept. of EECS, University of Wyoming
Verified email at uwyo.edu - Homepage
Title
Cited by
Cited by
Year
Inferring causal molecular networks: Empirical assessment through a community-based effort
SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ...
Nature Methods 13 (4), 310-318, 2016
2412016
Causal network inference by optimal causation entropy
J Sun, D Taylor, EM Bollt
SIAM Journal on Applied Dynamical Systems 14 (1), 73-106, 2015
2042015
Eigenvector-based centrality measures for temporal networks
D Taylor, SA Myers, A Clauset, MA Porter, PJ Mucha
Multiscale Modeling & Simulation 76 (5), 1984-2008, 2017
1992017
Optimal synchronization of complex networks
PS Skardal, D Taylor, J Sun
Physical Review Letters 113, 144101, 2014
1642014
Topological data analysis of contagion maps for examining spreading processes on networks
D Taylor, F Klimm, HA Harrington, M Kramár, K Mischaikow, MA Porter, ...
Nature Communications 6, 2015
1632015
Clustering network layers with the strata multilayer stochastic block model
N Stanley, S Shai, D Taylor, PJ Mucha
IEEE Transactions on Network Science 3, 95-105, 2016
1502016
Enhanced detectability of community structure in multilayer networks through layer aggregation
D Taylor, S Shai, N Stanley, PJ Mucha
Physical Review Letters 116, 228301, 2016
1082016
Erosion of synchronization in networks of coupled oscillators
PS Skardal, D Taylor, J Sun, A Arenas
Physical Review E: Rapid Communications 91, 010802R, 2015
572015
Effects of degree-frequency correlations on network synchronization: Universality and full phase-locking
PS Skardal, J Sun, D Taylor, JG Restrepo
Europhysics Letters 101 (2), 20001, 2013
542013
Super-resolution community detection for layer-aggregated multilayer networks
D Taylor, RS Caceres, PJ Mucha
Physical Review X 7, 031056, 2017
49*2017
Post-processing partitions to identify domains of modularity optimization
WH Weir, S Emmons, R Gibson, D Taylor, PJ Mucha
Algorithms 10 (3), 93, 2017
492017
Spontaneous synchronization of coupled oscillator systems with frequency adaptation
D Taylor, E Ott, JG Restrepo
Physical Review E 81 (4), 046214, 2010
472010
Continuous-in-depth neural networks
AF Queiruga, NB Erichson, D Taylor, MW Mahoney
arXiv preprint arXiv:2008.02389, 2020
432020
Higher-order interactions can better optimize network synchronization
PS Skardal, L Arola-Fernández, D Taylor, A Arenas
Physical Review Research 3 (4), 043193, 2021
392021
Tunable eigenvector-based centralities for multiplex and temporal networks
D Taylor, MA Porter, PJ Mucha
Multiscale Modeling & Simulation 19 (1), 113–147, 2021
382021
Complex macroscopic behavior in systems of phase oscillators with adaptive coupling
PS Skardal, D Taylor, JG Restrepo
Physica D: Nonlinear Phenomena 267, 27-35, 2014
362014
Optimal synchronization of directed complex networks
PS Skardal, D Taylor, J Sun
Chaos 26, 094807, 2016
342016
Case studies in network community detection
S Shai, N Stanley, C Granell, D Taylor, PJ Mucha
The Oxford Handbook of Social Networks, 311-333, 2020
282020
Synchronization of heterogeneous oscillators under network modifications: Perturbation and optimization of the synchrony alignment function
D Taylor, PS Skardal, J Sun
SIAM Journal on Applied Mathematics 76 (5), 1984–2008, 2016
282016
Noise-response analysis of deep neural networks quantifies robustness and fingerprints structural malware
NB Erichson, D Taylor, Q Wu, MW Mahoney
SIAM International Conference on Data Mining (SDM), 100-108, 2021
21*2021
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