Previous studies dealing with network theory focused mainly on the static aggregation of edges over specific time window lengths. Thus, most of the dynamic information gets lost. To assess the quality of such a static aggregation the temporal correlation coefficient can be calculated. It measures the overall possibility for an edge to persist between two consecutive snapshots. Up to now, this m...

The clustering coefficient quantifies how well connected are the neighbors of a vertex in a graph. In real networks it decreases with the vertex degree, which has been taken as a signature of the network hierarchical structure. Here we show that this signature of hierarchical structure is a consequence of degree-correlation biases in the clustering coefficient definition. We introduce a definit...

A formula for determining the correlation coefficients is proposed, according to which with a small number of measurements values will be larger compared calculated by known formulas, i.e., these less offset relative true coefficients.
 In geodesy in general are limited measurements, photogrammetry at mutual orientation pictures stereo pair an automatic mode identification points on left a...

With the establishment of global biological monitor network and development of remote sensing technology, data won’t be a limitation, but the variance brought by spatial heterogeneous and fractal will influence correlation coefficient significantly with the enlarged sample scale. Those impede us to find more intrinsic principle in ecology. Ecology is based on experiment, and the experiment meth...

Introduction: The ability to track motion is essential for many MRI applications. Specific applications of interest in our lab include retrospective and prospective 2D navigator echo motion artifact correction as well as post-process image averaging[l]. Previous attempts at motion tracking can be broadly classified into: 1) phase-based subtraction or 2) image-based pattern matching techniques. ...

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