How can DMD be used for analyzing the spread of information and influence in online social networks?

In this paper, we propose Bayesian DMD, which provides a principled way to transfer the advantages of the Bayesian formulation into DMD. To this end, we first ... KEY WORDS: heat · fluid, computational fluid dynamics, aerodynamic performance, Dynamic Mode Decomposition [D1] ... dominant modes from dynamic mode decomposition ... Mar 1, 2023 ... Abstract. In this work, we demonstrate how physical principles—such as symmetries, invariances and conservation laws—can be integrated into the ... May 8, 2024 ... Title:Multiplicative Dynamic Mode Decomposition ... Abstract:Koopman operators are infinite-dimensional operators that linearize nonlinear ... The recently developed dynamic mode decomposition (DMD) is an innovative tool for integrating data with dynamical systems theory. The DMD has deep connections ... Nov 30, 2023 ... Title:The Multiverse of Dynamic Mode Decomposition Algorithms ... Abstract:Dynamic Mode Decomposition (DMD) is a popular data-driven analysis ... A spatio-temporal method based on Robust Three-stage Dynamic Mode Decomposition (RTDMD) is proposed to improve the modal parameter estimation of ... Jul 9, 2014 ... ... dynamic modes' and to the decomposition technique as the 'dynamic mode decomposition'. This technique is at the basis of a Koopman analysis ... Nov 4, 2014 ... Dynamic mode decomposition (DMD) is a data-driven computational technique capable of extracting dynamical information from flowfields measured ... Feb 13, 2025 ... Based on simple least-square regression, the underlying dynamic mode decomposition algorithm can be used to construct a low-rank subspace ...