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Dane Taylor
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2020 – today
- 2024
- [j13]Zhao Song
, Dane Taylor
Coupling Asymmetry Optimizes Collective Dynamics Over Multiplex Networks. IEEE Trans. Netw. Sci. Eng. 11(2): 1524-1541 (2024) - 2022
- [j12]Samuel Heroy
Rigidity Percolation in Disordered 3D Rod Systems. Multiscale Model. Simul. 20(1): 250-281 (2022) - [j11]Dane Taylor, Mason A. Porter
Erratum: Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks. Multiscale Model. Simul. 20(3): 1167 (2022) - [i22]Bengier Ulgen Kilic, Dane Taylor:
Simplicial cascades are orchestrated by the multidimensional geometry of neuronal complexes. CoRR abs/2201.02071 (2022) - [i21]Ting Chang, Yingjie Hu, Dane Taylor, Brian M. Quigley
The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level. CoRR abs/2203.04088 (2022) - [i20]Izabel Aguiar, Dane Taylor, Johan Ugander:
A factor model of multilayer network interdependence. CoRR abs/2206.01804 (2022) - [i19]Jeremy Kazimer, Manlio De Domenico, Peter J. Mucha, Dane Taylor:
Ranking Edges by their Impact on the Spectral Complexity of Information Diffusion over Networks. CoRR abs/2210.15148 (2022) - 2021
- [j10]Dane Taylor, Mason A. Porter
Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks. Multiscale Model. Simul. 19(1): 113-147 (2021) - [c1]N. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney:
Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware. SDM 2021: 100-108 - [i18]Minh Quang Le, Dane Taylor:
Persistent homology of convection cycles in network flows. CoRR abs/2109.08746 (2021) - 2020
- [i17]Dane Taylor:
Multiplex Markov Chains. CoRR abs/2004.12820 (2020) - [i16]N. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney:
Noise-response Analysis for Rapid Detection of Backdoors in Deep Neural Networks. CoRR abs/2008.00123 (2020) - [i15]Alejandro F. Queiruga, N. Benjamin Erichson, Dane Taylor, Michael W. Mahoney:
Continuous-in-Depth Neural Networks. CoRR abs/2008.02389 (2020) - [i14]Bao Huynh, Haimonti Dutta, Dane Taylor:
Impact of Community Structure on Consensus Machine Learning. CoRR abs/2011.01334 (2020)
2010 – 2019
- 2019
- [j9]Benjamin Walker
Transient crosslinking kinetics optimize gene cluster interactions. PLoS Comput. Biol. 15(8) (2019) - [j8]Per Sebastian Skardal, Dane Taylor, Jie Sun
Synchronization of Network-Coupled Oscillators with Uncertain Dynamics. SIAM J. Appl. Math. 79(6): 2409-2433 (2019) - [i13]Dane Taylor, Mason A. Porter, Peter J. Mucha:
Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks. CoRR abs/1904.02059 (2019) - [i12]Dane Taylor, Mason A. Porter, Peter J. Mucha:
Supracentrality Analysis of Temporal Networks with Directed Interlayer Coupling. CoRR abs/1906.06366 (2019) - 2018
- [j7]Samuel Heroy, Dane Taylor, F. Bill Shi, M. Gregory Forest, Peter J. Mucha:
Rigid Graph Compression: Motif-Based Rigidity Analysis for Disordered Fiber Networks. Multiscale Model. Simul. 16(3): 1283-1304 (2018) - [j6]Zichao Li, Peter J. Mucha, Dane Taylor:
Network-Ensemble Comparisons with Stochastic Rewiring and Von Neumann Entropy. SIAM J. Appl. Math. 78(2): 897-920 (2018) - 2017
- [j5]William H. Weir
Post-Processing Partitions to Identify Domains of Modularity Optimization. Algorithms 10(3): 93 (2017) - [j4]Dane Taylor, Sean A. Myers, Aaron Clauset
Eigenvector-Based Centrality Measures for Temporal Networks. Multiscale Model. Simul. 15(1): 537-574 (2017) - [i11]Zichao Li, Peter J. Mucha, Dane Taylor:
Network-ensemble comparisons with stochastic rewiring and von Neumann entropy. CoRR abs/1704.01053 (2017) - [i10]Saray Shai, Natalie Stanley, Clara Granell, Dane Taylor, Peter J. Mucha:
Case studies in network community detection. CoRR abs/1705.02305 (2017) - [i9]William H. Weir, Scott Emmons, Ryan Gibson, Dane Taylor, Peter J. Mucha:
Post-processing partitions to identify domains of modularity optimization. CoRR abs/1706.03675 (2017) - 2016
- [j3]Dane Taylor, Per Sebastian Skardal, Jie Sun
Synchronization of Heterogeneous Oscillators Under Network Modifications: Perturbation and Optimization of the Synchrony Alignment Function. SIAM J. Appl. Math. 76(5): 1984-2008 (2016) - [j2]Natalie Stanley, Saray Shai, Dane Taylor, Peter J. Mucha:
Clustering Network Layers with the Strata Multilayer Stochastic Block Model. IEEE Trans. Netw. Sci. Eng. 3(2): 95-105 (2016) - [i8]Dane Taylor, Rajmonda Sulo Caceres, Peter J. Mucha:
Detectability of small communities in multilayer and temporal networks: Eigenvector localization, layer aggregation, and time series discretization. CoRR abs/1609.04376 (2016) - 2015
- [j1]Jie Sun
Causal Network Inference by Optimal Causation Entropy. SIAM J. Appl. Dyn. Syst. 14(1): 73-106 (2015) - [i7]Dane Taylor, Sean A. Myers, Aaron Clauset, Mason A. Porter, Peter J. Mucha:
Eigenvector-Based Centrality Measures for Temporal Networks. CoRR abs/1507.01266 (2015) - [i6]Natalie Stanley, Saray Shai, Dane Taylor, Peter J. Mucha:
Clustering Network Layers With the Strata Multilayer Stochastic Block Model. CoRR abs/1507.01826 (2015) - [i5]Dane Taylor, Saray Shai, Natalie Stanley, Peter J. Mucha:
Enhanced detectability of community structure in multilayer networks through layer aggregation. CoRR abs/1511.05271 (2015) - 2014
- [i4]Jie Sun, Dane Taylor, Erik M. Bollt:
Causal Network Inference by Optimal Causation Entropy. CoRR abs/1401.7574 (2014) - [i3]Dane Taylor, Florian Klimm, Heather A. Harrington, Miroslav Kramár, Konstantin Mischaikow, Mason A. Porter, Peter J. Mucha:
Complex contagions on noisy geometric networks. CoRR abs/1408.1168 (2014) - 2012
- [i2]Dane Taylor, Daniel B. Larremore:
Social Climber attachment in forming networks produces phase transition in "connectivity". CoRR abs/1205.3832 (2012) - 2011
- [i1]Dane Taylor, Juan G. Restrepo:
Modifying network connectivity with a subgraph addition. CoRR abs/1102.4876 (2011)
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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