complex systems 
Relaxation and aging in spin glasses and other complex systems


We describe how a hierachical model of spin glass relaxation can display aging behaviour, similarly to what is found in spin glasses and other complex systems out of thermodynamic equilibrium.


Reconstruction of spatiotemporal signals of complex systems


The related value of preferred scaling ratios is amazingly consistent with those found for a wide variety of other complex systems.


The argument can be generalized to more complex systems, and when applied to well known materials, a rough estimation of the displacive degree and the relevant microscopic energetic parameters in rather displacive ferroelectrics is possible.


It is shown that it allows the generation of correlation functions relevant to spectroscopic techniques that are very similar to those experimentally observed in a large variety of complex systems.


A novel approach to analyzing time series generated by complex systems, such as markets, is presented.


Various complex systems are studied, ranging from the realm of neural networks, to social sciences, to communication and transportation networks.


We briefly describe the toolkit used for studying complex systems: nonlinear dynamics, statistical physics, and network theory.


We place particular emphasis on network theorythe topic of this special issueand its importance in augmenting the framework for the quantitative study of complex systems.


In order to illustrate the main issues, we briefly review several areas where network theory has led to significant developments in our understanding of complex systems.


Since the cumulative distributions often exhibit power law behavior in a number of complex systems, we attempted to investigate the posted land prices available in Japan for the most recent six years of the recession period after the bubble economy.


The present work represents an important step towards the development of robust methods to determine strain profiles in nanosystems, aiming to fulfill the description of these important but complex systems.


The rate of growth of the entropy Sq, for some $q\neq 1$, is expected to provide nontrivial information about certain complex systems.


In complex systems such as turbulent flows and financial markets,


The results of this work can enrich the accuracy with which we describe how complex systems relax to preferential structures.


Delayed emission is a common decay process for very excited complex systems


Microscopic modeling of complex systems by cellular automata, which deal


Critical dynamic approach to stationary states in complex systems


A dynamic scaling Ansatz for the approach to stationary states in complex systems

