WebJul 9, 2014 · We present a dynamically equivalent transformation between time series and complex networks based on coarse geometry theory. In terms of quasi-isometric maps, we characterize how the underlying geometrical characters of complex systems are preserved during transformations. WebApr 13, 2024 · An approach, CorALS, is proposed to enable the construction and analysis of large-scale correlation networks for high-dimensional biological data as an open …
(PDF) Correlation Dimension of Complex Networks
WebAbstract Background Complex disease classification is an important part of the complex disease diagnosis and personalized treatment process. It has been shown that the integration of multi-omics data can analyze and classify complex diseases more accurately, because multi-omics data are highly correlated with the onset and progression of various … WebJun 2, 2024 · a-c Line graph example with n = 500 nodes representing the interval [0, 1].a The relative dimension of nodes given a source located at x = 0.33.The grey lines are the transient responses of the ... hallo john japke
An Extended Correlation Dimension of Complex Networks
WebNov 1, 2024 · This proposed method combines the local dimension of each node and fractal dimension of complex network, which concentrates on the local structure and whole structure respectively. Unlike previous methods, this proposed method considers both local structure and whole structure rather than only one aspect of complex network. WebJun 3, 2024 · The correlation dimension is one of the measures implemented to characterize the fractal nature of unweighted structures, but it has not been extended to … Webnetworks were constructed using only one measure of similarity, namely the (linear) Pearson cross correlation, and were then clustered using a community detection algorithm. However, nonlinear dependencies are known to exist in climate, which begs the question whether more complex correlation measures are able to capture any such relationships. hallo jp-600 説明書