output
20132025
most citedDiscovering governing equations from data: Sparse identification of nonlinear dynamical systems

4.8k citations

Showing 2017Show all

6 papers · 1 filter

q-bio.PE2017

A monotonic relationship between the variability of the infectious period and final size in pairwise epidemic modelling

Zsolt Vizi, István Z. Kiss, Joel C. Miller +1

For a recently derived pairwise model of network epidemics with non-Markovian recovery, we prove that under some mild technical conditions on the distribution of the infectious per…

eess.SY2017★ 2 cited

Dynamic mode decomposition for compressive system identification

Zhe Bai, Eurika Kaiser, Joshua L. Proctor +2

Dynamic mode decomposition has emerged as a leading technique to identify spatiotemporal coherent structures from high-dimensional data, benefiting from a strong connection to nonl…

q-bio.PE2017★ 9 cited

Identifying spatiotemporal dynamics of Ebola in Sierra Leone using virus genomes

Kyle B. Gustafson, Joshua L. Proctor

Containing the recent West African outbreak of Ebola virus (EBOV) required the deployment of substantial global resources. Operationally, health workers and surveillance teams trea…

eess.SY2017★ 33 cited

Adaptive Communication Networks with Privacy Guarantees

Atiye Alaeddini, Kristi Morgansen, Mehran Mesbahi

Utilizing the concept of observability, in conjunction with tools from graph theory and optimization, this paper develops an algorithm for network synthesis with privacy guarantees…

physics.soc-ph2017★ 34 cited

Asymmetric percolation drives a double transition in sexual contact networks

Antoine Allard, Benjamin M. Althouse, Samuel V. Scarpino +1

Zika virus (ZIKV) exhibits unique transmission dynamics in that it is concurrently spread by a mosquito vector and through sexual contact. We show that this sexual component of ZIK…

physics.data-an2017★ 208 cited

Model selection for dynamical systems via sparse regression and information criteria

Niall M. Mangan, J. Nathan Kutz, Steven L. Brunton +1

We develop an algorithm for model selection which allows for the consideration of a combinatorially large number of candidate models governing a dynamical system. The innovation ci…