4 citations · 5 across the 2 of their papers we have counts for
7 papers
Data-driven stochastic modeling of coarse-grained dynamics with finite-size effects using Langevin regression
Jordan Snyder, Jared L. Callaham, Steven L. Brunton +1
Obtaining coarse-grained models that accurately incorporate finite-size effects is an important open challenge in the study of complex, multi-scale systems. We apply Langevin regre…
Quantifying the Global Support Network for Non-State Armed Groups (NAGs)
Weiran Cai, Belgin San-Akca, Jordan Snyder +3
Human history has been shaped by armed conflicts. Rather than large-scale interstate wars, low-intensity attacks have been more prevalent in the post-World War era. These attacks a…
Network and Phase Symmetries Reveal That Amplitude Dynamics Stabilize Decoupled Oscillator Clusters
J. Emenheiser, A. Salova, J. Snyder +2
Oscillator networks display intricate synchronization patterns. Determining their stability typically requires incorporating the symmetries of the network coupling. Going beyond an…
Data-driven Selection of Coarse-Grained Models of Coupled Oscillators
Jordan Snyder, Anatoly Zlotnik, Andrey Y. Lokhov
Systematic discovery of reduced-order closure models for multi-scale processes remains an important open problem in complex dynamical systems. Even when an effective lower-dimensio…
Thresholding normally distributed data creates complex networks
George T. Cantwell, Yanchen Liu, Benjamin F. Maier +4
Network data sets are often constructed by some kind of thresholding procedure. The resulting networks frequently possess properties such as heavy-tailed degree distributions, clus…
A Dynamic Niche Model for the Emergence and Evolution of Mutualistic Network Structures
Weiran Cai, Jordan Snyder, Alan Hastings +1
Mutualistic interactions are vital constituents of ecological and socio-economic systems. Empirical studies have found that the patterns of reciprocal relations among the participa…