The structure and function of complex networks

by: MEJ Newman

(25 March 2003)

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arXiv (abstract), arXiv (PDF), NASA ADS

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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.

@misc{citeulike:155, 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.}, author = {Newman, M. E. J. }, citeulike-article-id = {155}, eprint = {cond-mat/0303516}, keywords = {small, social, world}, month = {March}, posted-at = {2008-01-11 01:02:53}, priority = {4}, title = {The structure and function of complex networks}, url = {http://arxiv.org/abs/cond-mat/0303516}, year = {2003} }

RIS record

TY - ELEC ID - citeulike:155 L3 - citeulike-article-id:155 TI - The structure and function of complex networks N2 - 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. KW - small KW - social KW - world AU - Newman, MEJ PY - 2003/03/25/ UR - http://arxiv.org/abs/cond-mat/0303516 ER -

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