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Zbl 1029.68010
Newman, M.E.J.
The structure and function of complex networks. (English)
[J] SIAM Rev. 45, No.2, 167-256 (2003). ISSN 0036-1445; ISSN 1095-7200/e

Summary: 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.

MSC 2000:: *68M10 Computer networks
05C90 Appl. of graph theory
05C75 Structural characterization of types of graphs
94C15 Appl. of graph theory to circuits and networks

Keywords: networks; graph theory; complex systems; computer networks; social networks; random graphs; percolation theory

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