The structure and function of complex networks
Statistical Mechanics
2015-06-24 v1 Disordered Systems and Neural Networks
Abstract
Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
Cite
@article{arxiv.cond-mat/0303516,
title = {The structure and function of complex networks},
author = {M. E. J. Newman},
journal= {arXiv preprint arXiv:cond-mat/0303516},
year = {2015}
}
Comments
Review article, 58 pages, 16 figures, 3 tables, 429 references, published in SIAM Review (2003)