Complex networks are everywhere; there is a network where any kind of information is exchanged. Many real-world systems in nature can be modeled as networks of interacting dynamical node. Internet, World Wide Web, social interactions, biological and economical systems and neural networks are only a few such examples. Indeed, we live in a world of networks. Attempts to characterize these networks, over the last decade, led to the emergence of a new, multidisciplinary approach to the study of complex systems. This approach, known as complex network analysis, describes important properties of complex systems by quantifying topologies of their respective network representations. DML research laboratory has started research in this area since May 2009.
Last update: June. 23, 2014