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TEMs infer directional influences in Latin America stock indices before, during, and after the October 2008 Crash.
We propose a novel information dynamic spectrum framework for automated detection of critical transitions and identification of directional influences.
Our framework uniquely investigates heterogeneously networked dynamical systems with transient directional influences, which subsumes unidirectional diffusion dynamics.
This paper investigates directional influences in the distribution of Bronze Age surface pottery in the northern Murghab Delta, Turkmenistan.
In relation to these directional influences on bacterial adhesion, several methods have been applied to determine the lateral forces between bacteria and surfaces.
Our proposed information dynamic spectrum framework detects and indicates critical transitions by quantifying both global and local directional influences in heterogeneous networks.
Similar(33)
The dual directional influence is similar for all cell pairs.
Transfer entropy (TE) [12] and symbolic transfer entropy (STE) [13] have been proposed to identify directional influence in complex systems.
In addition, the directional influence of uncertainty is used to reduce the number of variables to adapt.
While some kinds of directional influence can be identified visually, a quantitative approach is particularly useful in deconstructing such patterns.
Our framework is based on a novel associative transfer entropy (ATE) measure which decomposes directional influence of transfer entropy into associative states of the influences.
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