Human migration plays an important role in the city spatial evolution. This paper presents a new simulation model of city spatial evolution that explicitly considers preference and exploration in the migration choice decision process. In the model, the preference means that human prefer to move...

Dissipative time evolution of macroscopic systems describing the experimentally observed approach to reduced descriptions is put into the context of contact geometry. This viewpoint of nonequilibrium thermodynamics unifies many well-established mesoscopic dynamical theories, as for example the...

We apply methods and concepts of statistical physics to the study of economic organizations. We identify robust, universal, characteristics of the time evolution of economic organizations. Specifically, we find the existence of scaling laws describing the growth of the size of these...

We analyze the return of the S & P 500 index and characterize its evolution as being typical of a low-dimensional recurrent deterministic system. The first Poincaré return time of the chaotic logistic mapping trajectories is used to model the return evolution. The efficiency of the model is...

In this paper, the whole dynamical process of cascading failures in a class of scale-free coupled map lattices (CML’s), from the occurrence of attack to the end of failure propagation, is investigated. A dynamical model of cascading failures, based on synergetic theory, is constructed....

In the course of recent fifteen years the network analysis has become a powerful tool for studying financial markets. In this work we analyze stock markets of the USA and Sweden. We study cluster structures of a market network constructed from a correlation matrix of returns of the stocks traded...