Papangelis, EmmanouilShafieesabet, Mahta2022-08-082022-08-082022-02-112022-08-08http://hdl.handle.net/10315/39584Let a network of time series be a set of nodes assuming an underlying network structure, where each node is associated with a discrete time series. The road network, the human brain, online social media are a few examples of domain-specific applications that can be modelled as networks of time series. Now assume that the sequence of time series data points observed on a node determines whether the node is on (active) or off (inactive). Then, at each time step, a set of induced subgraphs can be formed from the subset of active nodes; we call these induced subgraphs active components. In this research, our goal is to efficiently detect and maintain/report the active components over time.Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.Computer scienceElectronic Thesis or Dissertation2022-08-08NetworksGraphDynamic graphsSubgraph modelTime seriesActive nodes