Data-driven Influence Based Clustering of Dynamical Systems. (arXiv:2204.02373v1 [eess.SY])

Community detection is a challenging and relevant problem in various
disciplines of science and engineering like power systems, gene-regulatory
networks, social networks, financial networks, astronomy etc. Furthermore, in
many of these applications the underlying system is dynamical in nature and
because of the complexity of the systems involved, deriving a mathematical
model which can be used for clustering and community detection, is often
impossible. Moreover, while clustering dynamical systems, it is imperative that
the dynamical nature of the underlying system …

arxiv clustering data data-driven influence systems