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Complex networks: Structure and dynamics (2006)
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BibTeX
@MISC{Boccaletti06complexnetworks:,
author = {S. Boccaletti and V. Latora and Y. Moreno and M. Chavez and D.-U. Hwang},
title = {Complex networks: Structure and dynamics },
year = {2006}
}
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Abstract
Coupled biological and chemical systems, neural networks, social interacting species, the Internet and the World Wide Web, are only a few examples of systems composed by a large number of highly interconnected dynamical units. The first approach to capture the global properties of such systems is to model them as graphs whose nodes represent the dynamical units, and whose links stand for the interactions between them. On the one hand, scientists have to cope with structural issues, such as characterizing the topology of a complex wiring architecture, revealing the unifying principles that are at the basis of real networks, and developing models to mimic the growth of a network and reproduce its structural properties. On the other hand, many relevant questions arise when studying complex networks ’ dynamics, such as learning how a large ensemble of dynamical systems that interact through a complex wiring topology can behave collectively. We review the major concepts and results recently achieved in the study of the structure and dynamics of complex networks, and summarize the relevant applications of these ideas in many different disciplines,
Keyphrases
complex network com locate physrep many relevant question large ensemble large number complex wiring topology neural network complex network dynamic structural property relevant application dynamical system dynamical unit global property complex wiring architecture unifying principle social interacting specie first approach structural issue interconnected dynamical unit major concept world wide web procaccia coupled biological many different discipline real network chemical system
