Departure from Network Equilibrium (DNE): an efficient and scalable measure of instantaneous network dynamics, with
Margaret Y Mahan1, Arthur C Leuthold, Apostolos P Georgopoulos
1Brain Sciences Center (11B), Department of Veterans Affairs, Minneapolis Health Care System, One Veterans Drive, Minneapolis, MN, 55417, USA.
Abstract:
The assessment of the dynamic status of a network is currently unavailable. It is important to know how far a network is away from its equilibrium (as an indicator of instability) at a moment, and over periods of time. Here, we introduce the Departure from Network Equilibrium (DNE), a new measure of instantaneous network dynamics. DNE is simple, fast to compute, and scalable with network size. We present the results of its application on white noise networks (as a basis) and on networks derived from magnetoencephalographic recordings from the human brain.
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