C3S2
The Clarkson Center for Complex Systems Science
Özge Canlı Usta, Research Associate, Clarkson University
Will present a talk entitled:
Detecting Cluster Synchronization via Causation Entropy in Chaotic Networks
Abstract: The complex networks formed by interactions of identical or similar dynamical systems allow us to model various natural and artificial phenomena. It is not surprising that modeling and analyzing such complex networks in physical, biological, engineering, and social sciences is a subject of ongoing interest. When interacting systems are chaotic, they exhibit unpredictable behavior due to their sensitive dependence on initial conditions and parameters. Moreover, when chaotic systems are coupled to each other through state variables, synchronization can happen. The cluster synchronization phenomenon, in which groups of coupled dynamical systems synchronize without complete synchronization of all systems in the network, is especially interesting. In this talk, we aim to detect of clusters via information measures in continuous coupled chaotic networks. The results have shown that causation entropies estimated from observations can be used to determine the number of synchronous clusters and membership information of the network elements in a chaotic network. Therefore, the average integrated causation measure and a novel algorithm have been demonstrated to detect the clusters. The proposed procedure has been tested on various chaotic networks. The ultimate goal of this study will be to develop the network reconstruction of the cluster synchronization for directional or bidirectional networks and enlighten us to understand the complex networks.
Bio: Özge Canlı Usta received the M.Sc. degree in electrical and electronics engineering and the Ph.D. degree from the Graduate School of Natural and Applied Sciences, Dokuz Eylül University, Izmir, Turkey, in 2015 and 2022, respectively. She is currently working as postdoctoral research associate in Clarkson Centre for Complex Systems Science (C3S2). Her research interests include complex networks, nonlinear systems, synchronization and information theory.
SC166
Friday, March 8th 2024
12:00 pm
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C3S2 Clarkson Center for Complex Systems Science l http://webspace.clarkson.edu/~ebollt/Website-C3S2/index.html
CLARKSON UNIVERSITY l Potsdam, New York 13699-5720