The structure and function of complex networks
MEJ Newman�- SIAM review, 2003 - SIAM
SIAM review, 2003•SIAM
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.
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.
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.
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