University of Vermont ScholarWorks @ UVM College of Engineering and Mathematical College of Engineering and Mathematical Sciences Faculty Publications Sciences 12-1-2020 The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series David Rushing Dewhurst University of Vermont Thayer Alshaabi University of Vermont Dilan Kiley Zillow Group Michael V. Arnold University of Vermont Joshua R. Minot University of Vermont See next page for additional authors Follow this and additional works at: https://scholarworks.uvm.edu/cemsfac Part of the Human Ecology Commons, and the Medicine and Health Commons Recommended Citation Dewhurst DR, Alshaabi T, Kiley D, Arnold MV, Minot JR, Danforth CM, Dodds PS. The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series. EPJ Data Science. 2020 Dec 1;9(1):3. This Article is brought to you for free and open access by the College of Engineering and Mathematical Sciences at ScholarWorks @ UVM. It has been accepted for inclusion in College of Engineering and Mathematical Sciences Faculty Publications by an authorized administrator of ScholarWorks @ UVM. For more information, please contact
[email protected]. Authors David Rushing Dewhurst, Thayer Alshaabi, Dilan Kiley, Michael V. Arnold, Joshua R. Minot, Christopher M. Danforth, and Peter Sheridan Dodds This article is available at ScholarWorks @ UVM: https://scholarworks.uvm.edu/cemsfac/14 Dewhurst et al. EPJ Data Science (2020)9:3 https://doi.org/10.1140/epjds/s13688-020-0220-x REGULAR ARTICLE OpenAccess The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series David Rushing Dewhurst1,2*, Thayer Alshaabi1,3,DilanKiley4, Michael V.