the complexity used in econophysics. Therefore, this article aims to clarify what kind of emergences and complexities we …

for the emergence of large-scale inhomogeneities and for the influence of inhomogeneity on the overall dynamics of … biological systems. Here, we show that a microscopic simulation methodology enables us to model the emergence of large …

We present a dynamical model of the emergence of firms as opposed to a flat labour market where entrepreneurs would …

clustering coefficient and small average shortest path length. The importance of chaos in the emergence of this type of scale …

Physiologic complexity is an important concept to characterize time series from biological systems, which associated to … complexity metrics as function of time scales. Complexity metrics are derived from nonadditive entropy supported by generation of … surrogate data, i.e. SDiffqmax, qmax and qzero. In order to access accuracy of proposed complexity metrics, receiver operating …

Multiscale entropy (MSE) is an effective method to measure the complexity of signals from complex systems, which has … complexity measurement. Thus we introduce an empirical mode decomposition based RCMSE, called EMD–RCMSE to first eliminate such … effects of trends and then measure the complexity of signals. It is validated from simulated signals and has good estimation …

the circular wave formations. Shiner–Davison–Landsberg (SDL) complexity measure framework has been used in several … were collected in two different spatial scales. The SDL complexity was calculated for the data and two main results …

We present an analytical computation of the asymptotic temporal behavior of the information geometric complexity (IGC … microcorrelations lead to the emergence of an asymptotic information geometric compression of the statistical macrostates explored by … connection between (micro)correlations and (macro)complexity in Gaussian statistical dynamical systems. …

these complexity algorithms and show explicitly that the above parameters are intimately connected and mutually … can be used in medical applications of complexity theory, as it can calculate all three parameters for a realistic …