True Nonlinear Dynamics from Incomplete Networks

We study nonlinear dynamics on complex networks. Each vertex $i$ has a state $x_i$ which evolves according to a networked dynamics to a steady-state $x_i^*$. We develop fundamental tools to learn the true steady-state of a small part of the network, without knowing the full network. A naive approach...

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Bibliographische Detailangaben

Hauptverfasser:	Jiang, Chunheng, Gao, Jianxi, Magdon-Ismail, Malik
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Multiagent Systems Computer Science - Social and Information Networks
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