Analysis of network by generalized mutual entropies

Generalized mutual entropy is defined for networks and applied for analysis of complex network structures. The method is tested for the case of computer simulated scale free networks, random networks, and their mixtures. The possible applications for real network analysis are discussed

IMIGE TYPOLOGIES IN COGNITION PROCESS

На примере элементарных ячеек кристаллических решеток, поверхностей Ферми металлов и адиабатических потенциалов примесей замещения в кристаллах рассматривается построение типологий, основанных на визуальных образахConstruction of typologies based on visual images is discussed using elementary cells of crystals, Fermi surfaces of metals and adiabatic potential energies of substitution impurities as the example