PUBLICATIONS
Submitted Preprints
SP4. J Kazimer, MD Domenico, PJ Mucha and D Taylor (2022) Ranking edges by their impact on the spectral complexity of information diffusion over networks. [arXiv]
SP3. MQ Le and D Taylor (2022) Persistent homology with k-nearest-neighbor filtrations reveals topological convergence of PageRank. [arXiv]
SP2. I Aguiar, D Taylor J Ugander (2022) A factor model of multilayer network interdependence. [arXiv]
SP1. B Huynh, H Dutta and D Taylor (2020) Impact of community structure on consensus machine learning. [arXiv]
Journal Publications
2023
2022
JP36. BU Kilic and D Taylor (2022) Simplicial cascades are orchestrated by the multidimensional geometry of neuronal complexes. Communications Physics 5, 278. [arXiv][CommsPhys]
Press coverage: UB News
JP35. PR Chamlagai, D Taylor and PS Skardal (2022) Grass-roots optimization of coupled oscillator networks. Physical Review E 106, 034202. [arXiv] [PRE]
JP34. MQ Le and D Taylor (2022) Persistent homology of convection cycles in network flows. Physical Review E 105, 044311. [arXiv] [PRE]
JP33. C Ziegler, PS Skardal, H Dutta and D Taylor (2022) Balanced Hodge Laplacians optimize consensus dynamics over simplicial complexes. Chaos: An Interdisciplinary Journal of Nonlinear Science 23, 023128. [arXiv] [Chaos]
JP32. S Heroy, D Taylor, F Shi, MG Forest and PJ Mucha (2022) Rigidity percolation in disordered 3D rod systems. Multiscale Modeling & Simulation 20(1), 250-281. [arXiv] [MMS]
JP31. T Chang, Y Hu, D Taylor and BM Quigley (2022) Role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level. Health & Place 73, 102736. [H&P]
2021
JP30. PS Skardal, L Arola-Fernández, D Taylor and A Arenas (2021) Higher-order interactions can better optimize network synchronization. Physical Review Research 3, 043193. [arXiv] [PRR]
JP29. Y Hu, BM Quigley and D Taylor (2021) Human mobility data and machine learning reveal geographic differences in alcohol sales and alcohol outlet visits across U.S. states during COVID-19. PLOS One, 16(12): e0255757. [PLOS]
Press coverage: CNN, WBFO, Miami Herald, News Medical, Bioengineer, Earth.com, LMTonline, Thrillist, wUSA, and UB News, UB Medical News
JP28. D Taylor, MA Porter and PJ Mucha (2021) Tunable eigenvector-based centralities for multiplex and temporal networks. Multiscale Modeling & Simulation 19(1), 113–147. [arXiv] [MMS]
2020
2019
JP26. PS Skardal, D Taylor and J Sun (2019) Synchronization of network-coupled oscillators with uncertain dynamics. SIAM Journal on Applied Mathematics, 79(6), 2409–2433. [arXiv] [SIAP]
JP25. B Walker, D Taylor, J Lawrimore, C Hult, D Adalsteinsson, K Bloom, MG Forest (2019) Transient crosslinking kinetics optimize gene cluster interactions. PLOS Computational Biology 15(8): e1007124. [arXiv] [PLOS]
2018
JP24. S Heroy, D Taylor, F. Shi, MG Forest and PJ Mucha (2018) Rigid graph compression: Motif-based rigidity analysis for disordered fiber networks. Multiscale Modeling & Simulation 16(3), 1283–1304. [arXiv] [MMS]
JP23. D Taylor, JG Restrepo and FG Meyer (2018) Ensemble-based estimates of eigenvector error for empirical covariance matrices. Information and Inference, iay010. [arXiv] [I&I]
JP22. Z Li, PJ Mucha and D Taylor (2018) Network-ensemble comparisons with stochastic rewiring and von Neumann entropy. SIAM Journal on Applied Mathematics 78(2), 897–920. [arXiv] [SIAP]
2017
JP21. D Taylor, RS Caceres and PJ Mucha (2017) Super-resolution community detection for layer-aggregated multilayer networks. Physical Review X 7, 031056. [arXiv] [PRX]
JP20. WH Weir, S Emmons, R Gibson, D Taylor and PJ Mucha (2017) Post-processing partitions to identify domains of modularity optimization. Algorithms 10(3), 93. [arXiv] [Algorithms]
JP19. D Taylor, SA Meyers, A Clauset, MA Porter and PJ Mucha (2017) Eigenvector-based centrality measures for temporal networks. Multiscale Modeling & Simulation 15(1), 537-574. [arXiv] [MMS]
2016
JP18. D Taylor, PS Skardal and J Sun (2016) Synchronization of heterogeneous oscillators under network modifications: Perturbation and optimization of the synchrony alignment function. SIAM Journal on Applied Mathematics 76(5), 1984-2008. [arXiv] [SIAP]
JP17. D Taylor, S Shai, N Stanley and PJ Mucha. (2016) Enhanced detectability of community structure in multilayer networks through layer aggregation. Physical Review Letters 116, 228301. [arXiv] [PRL]
JP16. PS Skardal, D Taylor and J Sun (2016) Optimal synchronization of directed complex networks. Chaos: An Interdisciplinary Journal of Nonlinear Science 26, 094807. [arXiv] [Chaos]
JP15. N Stanley, S Shai, D Taylor and PJ Mucha (2016) Clustering network layers with the strata multilayer stochastic block model. IEEE Transactions on Network Science and Engineering 3, 95-105. [arXiv] [IEEE]
JP14. PS Skardal, D Taylor, J Sun and A Arenas (2016) Collective frequency variation in network synchronization and reverse PageRank. Physical Review E 93, 042314. [arXiv] [PRE]
JP13. SM Hill and et al. (2016) Inferring causal molecular networks: Empirical assessment through a community-based effort. Nature Methods 13, 310-318. [PDF] [Nature]
JP12. PS Skardal, D Taylor, J Sun and A Arenas (2016) Erosion of synchronization: Coupling heterogeneity and network structure. Physica D: Nonlinear Phenomena 323, 40-48. [arXiv] [Physica D]
2015
JP11. D Taylor, F Klimm, HA Harrington, M Kramar, K Mischaikow, MA Porter and PJ Mucha (2015) Topological data analysis of contagion maps for examining spreading processes on networks. Nature Communications 6, 7723. [arXiv] [Nature]
Press coverage: Nature Physics, Oxford University News
JP10. PS Skardal, D Taylor, J Sun and A Arenas (2015) Erosion of synchronization in networks of coupled oscillators. Physical Review E 91, 010802R. [arXiv] [PRE]
JP9. J Sun, D Taylor and EM Bollt (2015) Causal network inference by optimal causation entropy. SIAM Journal on Applied Dynamical Systems 14(1), 73-106. [arXiv] [SIADS]
2014
JP8. PS Skardal, D Taylor and J Sun (2014) Optimal synchronization of complex networks. Physical Review Letters 113, 144101. [arXiv] [PRL]
JP7. PS Skardal, D Taylor and JG Restrepo (2014) Complex macroscopic behavior in systems of phase oscillators with adaptive coupling. Physica D: Nonlinear Phenomena 267, 27-35. [arXiv] [Physica D]
2013
JP6. D Taylor, EJ Fertig and JG Restrepo (2013) Dynamics in hybrid complex systems of switches and oscillators. Chaos: An Interdisciplinary Journal of Nonlinear Science 23, 033142. [arXiv] [Chaos]
JP5. PS Skardal, J Sun, D Taylor and JG Restrepo (2013) Effects of degree-frequency correlations on network synchronization: Universality and full phase-locking. EPL (Europhysics Letters) 101, 20001. [arXiv] [EPL]
2012
JP4. D Taylor and DB Larremore (2012) Social Climber attachment in forming networks produces a phase transition in a measure of connectivity. Physical Review E 86, 031140. [arXiv] [PRE]
JP3. D Taylor and JG Restrepo (2012) A network-specific approach to percolation in complex networks with bidirectional links. EPL (Europhysics Letters) 98, 16007. [arXiv] [EPL]
2011
2010
Conference Proceedings
Book Chapters
BC2. S Shai, N Stanley, C Granell, D Taylor and PJ Mucha (2020) Case studies in network community detection. Book Chapter in the "Oxford Handbook of Social Networks", edited by R Light and J Moody. [arXiv][Oxford]
BC1. D Taylor, MA Porter and PJ Mucha (2023) Supracentrality analysis of temporal networks with directed interlayer coupling. Book Chapter in "Temporal Network Theory, 2nd Ed.", edited by P Holme and J Saramaki. [arXiv][Springer]
Expository Articles
EA2. Z Gao , D Ghosh , H Harrington , JG Restrepo and D Taylor (2023) Dynamics on networks with higher-order interactions. Chaos: An Interdisciplinary Journal of Nonlinear Science 33, 040401. [Chaos]
EA1. D Taylor, J Sun and PS Skardal (2020) Symmetry and Optimization in the Synchronization and Collective Behavior of Complex Systems. Chaos: An Interdisciplinary Journal of Nonlinear Science 30, 060401. [Chaos]
Techincal Reports
TR1. A Queiruga, NB Erichson, D Taylor and MW Mahoney (2020) Continuous-in-depth neural networks. [arXiv]