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SIAM Review / Volume 45 / Issue 2

SIAM Rev. 45, pp. 167-256 (90 pages)

The Structure and Function of Complex Networks

M. E. J. Newman

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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.

© 2003 Society for Industrial and Applied Mathematics

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AMS Subject Headings

05C75, 05C90, 94C15

PUBLICATION DATA

ISSN

0036-1445 (print)  
1095-7200 (online)

Publisher

$abstract.society.value is a Member of CrossRef Society for Industrial and Applied Mathematics

ARTICLE DATA

Digital Object Identifier
http://dx.doi.org/10.1137/S003614450342480

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